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MNIST-kNN-Abgabe.ipynb ist die Abgabeversion mit den besten Ergebnissen

master
Tuan-Dat Tran 2021-05-19 18:16:04 +00:00
parent b127bc6b84
commit b9ba067322
4 changed files with 292 additions and 268 deletions
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448
0-pilot-project/MNIST-kNN-pipeline.ipynb → 0-pilot-project/MNIST-kNN-Abgabe.ipynb
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@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "markdown",
"id": "a3c5e9f5",
"id": "879144d9",
"metadata": {},
"source": [
"### Load MNIST dataset"
@ -11,7 +11,7 @@
{
"cell_type": "code",
"execution_count": 1,
"id": "faf6a6a2",
"id": "bd032860",
"metadata": {},
"outputs": [],
"source": [
@ -23,7 +23,7 @@
{
"cell_type": "code",
"execution_count": 2,
"id": "827c4abe",
"id": "30da011c",
"metadata": {},
"outputs": [],
"source": [
@ -35,7 +35,7 @@
{
"cell_type": "code",
"execution_count": 3,
"id": "f48143ed",
"id": "4f555050",
"metadata": {},
"outputs": [],
"source": [
@ -46,7 +46,7 @@
{
"cell_type": "code",
"execution_count": 4,
"id": "837cf0fb",
"id": "e4de4331",
"metadata": {},
"outputs": [
{
@ -74,7 +74,7 @@
{
"cell_type": "code",
"execution_count": 5,
"id": "c9b983ad",
"id": "b5221963",
"metadata": {},
"outputs": [],
"source": [
@ -83,7 +83,7 @@
},
{
"cell_type": "markdown",
"id": "7bda23fd",
"id": "811db75a",
"metadata": {},
"source": [
"### labels to int"
@ -92,7 +92,7 @@
{
"cell_type": "code",
"execution_count": 6,
"id": "4740ebf7",
"id": "2bcc19ad",
"metadata": {},
"outputs": [],
"source": [
@ -104,7 +104,7 @@
{
"cell_type": "code",
"execution_count": 7,
"id": "315c76e6",
"id": "cc4b728f",
"metadata": {},
"outputs": [],
"source": [
@ -114,7 +114,7 @@
},
{
"cell_type": "markdown",
"id": "91d3d66e",
"id": "d7113df3",
"metadata": {},
"source": [
"### Prepare data for machine learning"
@ -122,7 +122,7 @@
},
{
"cell_type": "markdown",
"id": "a8c06c27",
"id": "570f328e",
"metadata": {},
"source": [
"### Identify Train Set and Test Set"
@ -131,7 +131,7 @@
{
"cell_type": "code",
"execution_count": 8,
"id": "44f347bf",
"id": "80e1ca03",
"metadata": {},
"outputs": [
{
@ -158,7 +158,7 @@
},
{
"cell_type": "markdown",
"id": "50224021",
"id": "ade8a1f6",
"metadata": {},
"source": [
"## Pipeline Declaration"
@ -167,7 +167,7 @@
{
"cell_type": "code",
"execution_count": 9,
"id": "d03586ff",
"id": "bc5896c2",
"metadata": {},
"outputs": [],
"source": [
@ -195,7 +195,7 @@
},
{
"cell_type": "markdown",
"id": "582d15bf",
"id": "9e905584",
"metadata": {},
"source": [
"# Crossvalidation"
@ -204,7 +204,7 @@
{
"cell_type": "code",
"execution_count": 10,
"id": "3d3c4023",
"id": "bbbb447c",
"metadata": {},
"outputs": [],
"source": [
@ -222,7 +222,7 @@
{
"cell_type": "code",
"execution_count": 11,
"id": "620f88eb",
"id": "4a8240c4",
"metadata": {},
"outputs": [],
"source": [
@ -240,7 +240,7 @@
{
"cell_type": "code",
"execution_count": 12,
"id": "3575c029",
"id": "f397cf42",
"metadata": {},
"outputs": [],
"source": [
@ -263,7 +263,7 @@
},
{
"cell_type": "markdown",
"id": "e485d1cc",
"id": "a543706f",
"metadata": {},
"source": [
"# Fitting"
@ -272,7 +272,7 @@
{
"cell_type": "code",
"execution_count": 13,
"id": "1bbfa763",
"id": "45452ceb",
"metadata": {},
"outputs": [],
"source": [
@ -282,14 +282,14 @@
{
"cell_type": "code",
"execution_count": 14,
"id": "24c79306",
"id": "03c01cd0",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Pipeline: knn (baseline) (97.3071%) (0.1153)\n",
"Pipeline: knn (baseline) (97.3071%) (0.1162)\n",
" precision recall f1-score support\n",
"\n",
" 0 0.98 1.00 0.99 1359\n",
@ -308,16 +308,16 @@
"weighted avg 0.97 0.97 0.97 14000\n",
"\n",
" fit_time score_time test_score\n",
"0 0.148709 8.932784 0.972143\n",
"1 0.209577 9.215023 0.971429\n",
"2 0.179098 9.244114 0.971607\n",
"3 0.262929 9.187294 0.970714\n",
"4 0.183352 9.243924 0.972143\n",
"5 0.116970 9.330330 0.972857\n",
"6 0.114284 8.733218 0.975179\n",
"7 0.117283 8.884361 0.972500\n",
"8 0.115274 8.905413 0.975357\n",
"9 0.117665 9.335545 0.973393\n"
"0 0.125081 9.229141 0.972143\n",
"1 0.123761 8.918457 0.971429\n",
"2 0.125360 9.193326 0.971607\n",
"3 0.119904 8.944645 0.970714\n",
"4 0.244280 9.182126 0.972143\n",
"5 0.233787 9.137941 0.972857\n",
"6 0.123714 9.257920 0.975179\n",
"7 0.116261 9.135718 0.972500\n",
"8 0.116210 9.125259 0.975357\n",
"9 0.141345 9.308920 0.973393\n"
]
}
],
@ -333,14 +333,14 @@
{
"cell_type": "code",
"execution_count": 15,
"id": "52b4ce78",
"id": "18f02d0c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Pipeline: scalar+knn (94.8000%) (1.203)\n",
"Pipeline: scalar+knn (94.8000%) (1.146)\n",
" precision recall f1-score support\n",
"\n",
" 0 0.97 0.99 0.98 1359\n",
@ -359,16 +359,16 @@
"weighted avg 0.95 0.95 0.95 14000\n",
"\n",
" fit_time score_time test_score\n",
"0 1.009821 8.804876 0.949643\n",
"1 0.896719 8.698193 0.945000\n",
"2 1.011811 8.871731 0.949107\n",
"3 0.807173 8.469129 0.942500\n",
"4 1.330411 8.438243 0.948393\n",
"5 0.753516 8.551000 0.945179\n",
"6 0.755293 8.546287 0.943214\n",
"7 1.497854 8.511951 0.946607\n",
"8 1.203481 8.682229 0.951607\n",
"9 1.530921 8.592839 0.947143\n"
"0 0.758668 8.452150 0.949643\n",
"1 0.885169 8.631167 0.945000\n",
"2 1.160197 8.948529 0.949107\n",
"3 1.353553 8.502009 0.942500\n",
"4 0.912583 9.036203 0.948393\n",
"5 0.833251 9.013008 0.945179\n",
"6 0.886441 8.995505 0.943214\n",
"7 0.935067 8.891803 0.946607\n",
"8 1.146215 8.633170 0.951607\n",
"9 1.234975 8.846080 0.947143\n"
]
}
],
@ -385,14 +385,14 @@
{
"cell_type": "code",
"execution_count": 16,
"id": "0dfeaba7",
"id": "b2e7ee09",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Pipeline: minmax+knn (97.3071%) (0.4171)\n",
"Pipeline: minmax+knn (97.3071%) (0.5789)\n",
" precision recall f1-score support\n",
"\n",
" 0 0.98 1.00 0.99 1359\n",
@ -411,16 +411,16 @@
"weighted avg 0.97 0.97 0.97 14000\n",
"\n",
" fit_time score_time test_score\n",
"0 0.471567 9.110645 0.972143\n",
"1 0.471289 9.058701 0.971429\n",
"2 0.464118 8.920339 0.971786\n",
"3 0.392877 8.670509 0.970714\n",
"4 0.560493 9.075067 0.972143\n",
"5 0.439241 9.117617 0.972857\n",
"6 0.417131 8.821410 0.975179\n",
"7 0.502502 9.211790 0.972679\n",
"8 0.562765 8.894657 0.975179\n",
"9 0.365910 8.664754 0.973393\n"
"0 0.389049 8.747383 0.972143\n",
"1 0.385594 9.063268 0.971429\n",
"2 0.527658 8.926810 0.971786\n",
"3 0.564983 8.949160 0.970714\n",
"4 0.607976 9.087395 0.972143\n",
"5 0.689083 8.948745 0.972857\n",
"6 0.578933 8.950404 0.975179\n",
"7 0.647489 9.248726 0.972679\n",
"8 0.634490 9.124195 0.975179\n",
"9 0.619997 8.861808 0.973393\n"
]
}
],
@ -437,14 +437,14 @@
{
"cell_type": "code",
"execution_count": 17,
"id": "954f303d",
"id": "23ae34c3",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Pipeline: standard+pca95+knn (95.3929%) (7.125)\n",
"Pipeline: standard+pca95+knn (95.3929%) (9.151)\n",
" precision recall f1-score support\n",
"\n",
" 0 0.97 0.99 0.98 1359\n",
@ -463,16 +463,16 @@
"weighted avg 0.95 0.95 0.95 14000\n",
"\n",
" fit_time score_time test_score\n",
"0 7.513900 6.548804 0.953036\n",
"1 9.749506 5.649257 0.950357\n",
"2 9.862697 5.623950 0.953571\n",
"3 9.706705 5.707787 0.945179\n",
"4 7.644520 6.525581 0.952500\n",
"5 9.088006 5.999788 0.950000\n",
"6 9.022692 5.937026 0.948214\n",
"7 9.722373 5.648439 0.950714\n",
"8 7.124760 5.989992 0.955893\n",
"9 7.688745 6.399412 0.953571\n"
"0 7.882113 6.468349 0.953036\n",
"1 8.902088 5.919568 0.950357\n",
"2 8.750770 5.959131 0.953571\n",
"3 7.767436 6.355160 0.945179\n",
"4 9.307496 5.559806 0.952500\n",
"5 7.845258 6.534233 0.950000\n",
"6 8.874461 5.844108 0.948214\n",
"7 7.704501 6.488686 0.950714\n",
"8 9.151180 5.622928 0.955893\n",
"9 7.257694 6.649508 0.953571\n"
]
}
],
@ -490,14 +490,14 @@
{
"cell_type": "code",
"execution_count": 18,
"id": "375615c0",
"id": "cac23616",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Pipeline: minmax+pca95+knn (97.5500%) (8.169)\n",
"Pipeline: minmax+pca95+knn (97.5500%) (8.162)\n",
" precision recall f1-score support\n",
"\n",
" 0 0.98 1.00 0.99 1359\n",
@ -516,16 +516,16 @@
"weighted avg 0.98 0.98 0.98 14000\n",
"\n",
" fit_time score_time test_score\n",
"0 8.054958 5.493052 0.973750\n",
"1 8.554230 4.945253 0.972857\n",
"2 7.932777 5.341562 0.974286\n",
"3 7.616275 5.701586 0.973036\n",
"4 8.145786 5.175171 0.974464\n",
"5 7.198905 5.762730 0.975179\n",
"6 7.349528 5.753122 0.975893\n",
"7 6.830007 5.986614 0.975357\n",
"8 8.169036 5.468261 0.976607\n",
"9 8.215247 5.327437 0.975536\n"
"0 8.170779 5.294063 0.973750\n",
"1 8.088926 5.365682 0.972857\n",
"2 6.857623 5.776273 0.974286\n",
"3 7.262239 5.806243 0.973036\n",
"4 8.057861 5.374735 0.974464\n",
"5 7.276100 5.745563 0.975179\n",
"6 8.202060 5.424418 0.975893\n",
"7 8.114796 5.319392 0.975357\n",
"8 8.162190 5.424424 0.976607\n",
"9 7.437983 5.727555 0.975536\n"
]
}
],
@ -543,14 +543,14 @@
{
"cell_type": "code",
"execution_count": 19,
"id": "0c04fd54",
"id": "a57eb660",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Pipeline: standard+pca99+knn (94.9071%) (8.42)\n",
"Pipeline: standard+pca99+knn (94.9071%) (9.396)\n",
" precision recall f1-score support\n",
"\n",
" 0 0.97 0.99 0.98 1359\n",
@ -569,16 +569,16 @@
"weighted avg 0.95 0.95 0.95 14000\n",
"\n",
" fit_time score_time test_score\n",
"0 8.228997 7.326211 0.949821\n",
"1 8.296160 7.341953 0.946786\n",
"2 7.655164 7.585432 0.950179\n",
"3 8.579497 7.275667 0.943036\n",
"4 8.647136 7.235398 0.948750\n",
"5 8.524955 7.204496 0.945893\n",
"6 8.622762 7.377557 0.946071\n",
"7 8.968744 7.107852 0.947679\n",
"8 8.420293 7.159137 0.953214\n",
"9 7.535510 7.697132 0.947679\n"
"0 9.473285 6.515933 0.949821\n",
"1 7.714788 7.746434 0.946786\n",
"2 7.546448 7.823940 0.950179\n",
"3 7.546017 7.754220 0.943036\n",
"4 7.534473 7.836074 0.948750\n",
"5 7.524864 7.952840 0.945893\n",
"6 7.699588 7.758791 0.946071\n",
"7 9.373224 6.639953 0.947679\n",
"8 9.395972 6.550251 0.953214\n",
"9 9.444257 6.667987 0.947679\n"
]
}
],
@ -596,14 +596,14 @@
{
"cell_type": "code",
"execution_count": 20,
"id": "22c4ca56",
"id": "bcbedf38",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Pipeline: minmax+pca99+knn (97.3643%) (7.296)\n",
"Pipeline: minmax+pca99+knn (97.3643%) (9.134)\n",
" precision recall f1-score support\n",
"\n",
" 0 0.98 1.00 0.99 1359\n",
@ -622,16 +622,16 @@
"weighted avg 0.97 0.97 0.97 14000\n",
"\n",
" fit_time score_time test_score\n",
"0 7.414330 6.520805 0.972679\n",
"1 7.380615 6.424363 0.971429\n",
"2 7.606246 6.410645 0.972143\n",
"3 8.741697 5.490113 0.970179\n",
"4 8.586719 5.866966 0.972679\n",
"5 8.284014 6.071847 0.973214\n",
"6 8.925915 5.541398 0.975536\n",
"7 7.440964 6.649676 0.972857\n",
"8 7.296453 6.530696 0.975714\n",
"9 7.390439 6.666066 0.974286\n"
"0 8.213089 6.006415 0.972679\n",
"1 7.115110 6.500668 0.971429\n",
"2 7.381336 6.424851 0.972143\n",
"3 7.099746 6.442294 0.970179\n",
"4 9.174922 5.636195 0.972679\n",
"5 6.937273 6.640518 0.973214\n",
"6 8.361929 6.048856 0.975536\n",
"7 9.058427 5.660812 0.972857\n",
"8 9.134326 5.704015 0.975714\n",
"9 9.088895 5.631931 0.974286\n"
]
}
],
@ -649,14 +649,14 @@
{
"cell_type": "code",
"execution_count": 21,
"id": "eb454722",
"id": "5bc4f44b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Pipeline: maxabs+pca95+knn (97.5500%) (9.02)\n",
"Pipeline: maxabs+pca95+knn (97.5500%) (8.568)\n",
" precision recall f1-score support\n",
"\n",
" 0 0.98 1.00 0.99 1359\n",
@ -675,16 +675,16 @@
"weighted avg 0.98 0.98 0.98 14000\n",
"\n",
" fit_time score_time test_score\n",
"0 6.947509 5.675072 0.973750\n",
"1 9.039265 5.126696 0.972857\n",
"2 8.992979 4.936873 0.974286\n",
"3 7.849278 5.546096 0.973036\n",
"4 7.618944 5.663611 0.974464\n",
"5 8.973946 5.126191 0.975179\n",
"6 7.703779 5.666359 0.975893\n",
"7 8.414855 5.337673 0.975357\n",
"8 9.020215 5.024463 0.976607\n",
"9 8.363406 5.144763 0.975536\n"
"0 7.831842 5.514181 0.973750\n",
"1 7.772907 5.701575 0.972857\n",
"2 8.581123 5.059241 0.974286\n",
"3 7.486752 5.769173 0.973036\n",
"4 7.644667 5.623410 0.974464\n",
"5 8.568252 5.032640 0.975179\n",
"6 7.305880 5.804784 0.975893\n",
"7 7.243364 5.869418 0.975357\n",
"8 8.568058 5.175154 0.976607\n",
"9 8.545392 5.035311 0.975536\n"
]
}
],
@ -702,14 +702,14 @@
{
"cell_type": "code",
"execution_count": 22,
"id": "a5e2b93b",
"id": "a901ad5d",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Pipeline: maxabs+pca99+knn (97.3643%) (7.742)\n",
"Pipeline: maxabs+pca99+knn (97.3643%) (7.451)\n",
" precision recall f1-score support\n",
"\n",
" 0 0.98 1.00 0.99 1359\n",
@ -728,16 +728,16 @@
"weighted avg 0.97 0.97 0.97 14000\n",
"\n",
" fit_time score_time test_score\n",
"0 7.651374 6.346306 0.972679\n",
"1 8.849486 5.692084 0.971429\n",
"2 8.812459 5.638000 0.972143\n",
"3 7.636452 6.359757 0.970179\n",
"4 7.290244 6.555213 0.972679\n",
"5 7.486546 6.490154 0.973214\n",
"6 8.782154 5.571597 0.975536\n",
"7 8.695853 5.666834 0.972857\n",
"8 7.742428 6.395004 0.975714\n",
"9 7.034753 6.624636 0.974286\n"
"0 7.066843 6.724576 0.972679\n",
"1 8.163119 5.973942 0.971429\n",
"2 7.298925 6.530500 0.972143\n",
"3 8.869127 5.643595 0.970179\n",
"4 8.898886 5.403235 0.972679\n",
"5 7.828445 6.313535 0.973214\n",
"6 8.803470 5.529734 0.975536\n",
"7 8.294126 5.839177 0.972857\n",
"8 7.450544 6.585145 0.975714\n",
"9 7.483754 6.628288 0.974286\n"
]
}
],
@ -755,7 +755,7 @@
{
"cell_type": "code",
"execution_count": 23,
"id": "91b4cbc2",
"id": "19e87457",
"metadata": {},
"outputs": [
{
@ -770,7 +770,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Pipeline: power+pca95+knn (94.9786%) (38.93)\n",
"Pipeline: power+pca95+knn (94.9786%) (39.14)\n",
" precision recall f1-score support\n",
"\n",
" 0 0.97 0.99 0.98 1359\n",
@ -789,16 +789,16 @@
"weighted avg 0.95 0.95 0.95 14000\n",
"\n",
" fit_time score_time test_score\n",
"0 36.886070 6.967202 0.946429\n",
"1 37.332160 6.735316 0.945357\n",
"2 37.508776 6.800920 0.948929\n",
"3 38.891379 6.085247 0.945714\n",
"4 38.397027 6.117569 0.949107\n",
"5 37.785432 6.497440 0.945357\n",
"6 39.151339 5.717458 0.949643\n",
"7 38.417527 6.293112 0.948571\n",
"8 38.930055 6.054872 0.956607\n",
"9 37.403106 6.885915 0.949821\n"
"0 38.802822 5.871142 0.946429\n",
"1 37.150519 6.993097 0.945357\n",
"2 37.138519 7.017011 0.948929\n",
"3 38.357648 6.108760 0.945714\n",
"4 37.175505 7.018548 0.949107\n",
"5 37.249800 6.882046 0.945357\n",
"6 37.172034 6.747881 0.949643\n",
"7 38.738593 5.878512 0.948571\n",
"8 39.135663 5.579420 0.956607\n",
"9 37.060059 6.904209 0.949821\n"
]
}
],
@ -816,7 +816,7 @@
{
"cell_type": "code",
"execution_count": 24,
"id": "ea870baa",
"id": "6146ccb1",
"metadata": {},
"outputs": [
{
@ -831,7 +831,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Pipeline: power+pca99+knn (94.9786%) (38.16)\n",
"Pipeline: power+pca99+knn (94.9786%) (37.94)\n",
" precision recall f1-score support\n",
"\n",
" 0 0.97 0.99 0.98 1359\n",
@ -850,16 +850,16 @@
"weighted avg 0.95 0.95 0.95 14000\n",
"\n",
" fit_time score_time test_score\n",
"0 38.908710 6.235653 0.946429\n",
"1 39.838243 5.715713 0.945357\n",
"2 37.945147 6.488883 0.948929\n",
"3 37.087087 7.073378 0.945714\n",
"4 37.081666 6.340769 0.949107\n",
"5 38.896161 6.251284 0.945357\n",
"6 39.849142 5.632420 0.949643\n",
"7 38.063409 6.452322 0.948571\n",
"8 38.157108 6.539793 0.956607\n",
"9 39.793286 5.645674 0.949821\n"
"0 39.081897 5.799132 0.946429\n",
"1 39.650227 5.733288 0.945357\n",
"2 36.740629 6.834802 0.948929\n",
"3 39.349449 5.738063 0.945714\n",
"4 38.051169 6.654780 0.949107\n",
"5 38.139323 6.575838 0.945357\n",
"6 36.967650 6.827009 0.949643\n",
"7 37.961230 6.632579 0.948571\n",
"8 37.944791 6.445367 0.956607\n",
"9 39.280427 5.751522 0.949821\n"
]
}
],
@ -877,14 +877,14 @@
{
"cell_type": "code",
"execution_count": 25,
"id": "0faded62",
"id": "66a7637b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Pipeline: bin+pca95+knn (96.8286%) (8.109)\n",
"Pipeline: bin+pca95+knn (96.8286%) (8.674)\n",
" precision recall f1-score support\n",
"\n",
" 0 0.98 0.99 0.99 1359\n",
@ -903,16 +903,16 @@
"weighted avg 0.97 0.97 0.97 14000\n",
"\n",
" fit_time score_time test_score\n",
"0 7.204604 6.520073 0.967679\n",
"1 8.737834 5.673134 0.969107\n",
"2 7.240958 6.520879 0.968571\n",
"3 7.118583 6.613050 0.965357\n",
"4 8.733715 5.555613 0.969643\n",
"5 7.919914 6.100565 0.966429\n",
"6 8.739508 5.720392 0.969821\n",
"7 8.712544 5.598128 0.967679\n",
"8 7.183513 6.587496 0.970536\n",
"9 8.109238 5.849805 0.970714\n"
"0 8.605724 5.490393 0.967679\n",
"1 7.290196 6.624226 0.969107\n",
"2 7.169216 6.591240 0.968571\n",
"3 7.225861 6.645801 0.965357\n",
"4 7.196922 6.595732 0.969643\n",
"5 7.294749 6.646243 0.966429\n",
"6 8.720850 5.419779 0.969821\n",
"7 8.711336 5.597409 0.967679\n",
"8 7.221519 6.624207 0.970536\n",
"9 8.673788 5.737247 0.970714\n"
]
}
],
@ -930,14 +930,14 @@
{
"cell_type": "code",
"execution_count": 26,
"id": "0dbf3a59",
"id": "d4fadaac",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Pipeline: bin+pca99+knn (96.6571%) (7.486)\n",
"Pipeline: bin+pca99+knn (96.6571%) (7.146)\n",
" precision recall f1-score support\n",
"\n",
" 0 0.98 0.99 0.98 1359\n",
@ -956,16 +956,16 @@
"weighted avg 0.97 0.97 0.97 14000\n",
"\n",
" fit_time score_time test_score\n",
"0 8.838046 5.829949 0.965536\n",
"1 8.505749 5.961209 0.967143\n",
"2 8.716863 6.040388 0.966607\n",
"3 7.011340 6.811409 0.965179\n",
"4 7.140592 6.693154 0.966964\n",
"5 6.975613 6.828256 0.964821\n",
"6 7.691550 6.389498 0.968393\n",
"7 7.684490 6.294239 0.966429\n",
"8 7.486223 6.413954 0.969107\n",
"9 8.752805 5.730480 0.968750\n"
"0 6.961178 6.772386 0.965536\n",
"1 8.445867 6.193574 0.967143\n",
"2 9.256319 5.771667 0.966607\n",
"3 7.188147 6.795888 0.965179\n",
"4 9.336459 5.739643 0.966964\n",
"5 7.107809 6.823560 0.964821\n",
"6 9.127543 5.848893 0.968393\n",
"7 9.106971 5.873384 0.966429\n",
"8 7.145829 6.698655 0.969107\n",
"9 8.202323 6.141933 0.968750\n"
]
}
],
@ -983,14 +983,14 @@
{
"cell_type": "code",
"execution_count": 27,
"id": "5a0b6d1b",
"id": "d15fb11c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Pipeline: pca95+knn (97.5500%) (7.655)\n",
"Pipeline: pca95+knn (97.5500%) (7.416)\n",
" precision recall f1-score support\n",
"\n",
" 0 0.98 1.00 0.99 1359\n",
@ -1009,16 +1009,16 @@
"weighted avg 0.98 0.98 0.98 14000\n",
"\n",
" fit_time score_time test_score\n",
"0 7.638611 5.326603 0.973750\n",
"1 6.768761 5.676790 0.972857\n",
"2 9.021050 4.722342 0.974286\n",
"3 9.075169 4.697984 0.973036\n",
"4 7.276331 5.603889 0.974464\n",
"5 6.989354 5.469358 0.975179\n",
"6 8.597729 4.884387 0.975893\n",
"7 8.666089 4.922805 0.975357\n",
"8 7.654789 5.129449 0.976607\n",
"9 6.945298 5.348174 0.975536\n"
"0 7.440297 5.405928 0.973750\n",
"1 7.141649 5.609115 0.972857\n",
"2 6.829969 5.687647 0.974286\n",
"3 8.291485 5.057073 0.973036\n",
"4 8.281738 4.872021 0.974464\n",
"5 6.882516 5.804941 0.975179\n",
"6 8.275357 5.190776 0.975893\n",
"7 8.244917 5.013079 0.975357\n",
"8 7.416139 5.446140 0.976607\n",
"9 6.752497 5.906509 0.975536\n"
]
}
],
@ -1035,14 +1035,14 @@
{
"cell_type": "code",
"execution_count": 28,
"id": "48696165",
"id": "2db8577b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Pipeline: pca99+knn (97.3643%) (8.14)\n",
"Pipeline: pca99+knn (97.3643%) (6.88)\n",
" precision recall f1-score support\n",
"\n",
" 0 0.98 1.00 0.99 1359\n",
@ -1061,16 +1061,16 @@
"weighted avg 0.97 0.97 0.97 14000\n",
"\n",
" fit_time score_time test_score\n",
"0 8.260046 5.959701 0.972857\n",
"1 8.729834 5.585496 0.971429\n",
"2 8.598983 5.930078 0.972143\n",
"3 7.718438 6.483653 0.970179\n",
"4 6.770636 6.657404 0.972679\n",
"5 6.947608 6.525910 0.973214\n",
"6 7.537212 6.372437 0.975536\n",
"7 8.566531 5.778190 0.972857\n",
"8 8.140383 6.020524 0.975714\n",
"9 8.087441 6.029204 0.974286\n"
"0 8.113361 5.777437 0.972857\n",
"1 6.950958 6.503708 0.971429\n",
"2 8.775186 5.424367 0.972143\n",
"3 8.805392 5.562713 0.970179\n",
"4 6.980318 6.581474 0.972679\n",
"5 8.412863 5.525903 0.973214\n",
"6 7.188666 6.495338 0.975536\n",
"7 6.802638 6.664372 0.972857\n",
"8 6.879545 6.603721 0.975714\n",
"9 7.031381 6.631324 0.974286\n"
]
}
],
@ -1087,7 +1087,7 @@
{
"cell_type": "code",
"execution_count": 29,
"id": "e72be17c",
"id": "a5702428",
"metadata": {},
"outputs": [],
"source": [
@ -1104,7 +1104,7 @@
{
"cell_type": "code",
"execution_count": 30,
"id": "168ade90",
"id": "0ee57cfe",
"metadata": {},
"outputs": [],
"source": [
@ -1120,7 +1120,7 @@
},
{
"cell_type": "markdown",
"id": "e818ffa3",
"id": "7fbbc930",
"metadata": {},
"source": [
"# Auswertung"
@ -1129,7 +1129,7 @@
{
"cell_type": "code",
"execution_count": 31,
"id": "5e3edce3",
"id": "e5d609aa",
"metadata": {},
"outputs": [
{
@ -1146,8 +1146,8 @@
},
{
"cell_type": "code",
"execution_count": 32,
"id": "908d1f54",
"execution_count": 38,
"id": "234f14bb",
"metadata": {},
"outputs": [
{
@ -1179,7 +1179,7 @@
},
{
"cell_type": "markdown",
"id": "810fb969",
"id": "a6ddb6f2",
"metadata": {},
"source": [
"Default n=3\\\n",
@ -1202,7 +1202,7 @@
},
{
"cell_type": "markdown",
"id": "78b1a366",
"id": "bde6e847",
"metadata": {},
"source": [
"n=3 euclid distance\\\n",
@ -1225,7 +1225,7 @@
},
{
"cell_type": "markdown",
"id": "9300d407",
"id": "4c625bc3",
"metadata": {},
"source": [
"# Hyper Parameter Optimization"
@ -1233,17 +1233,25 @@
},
{
"cell_type": "code",
"execution_count": 33,
"id": "138aacf6",
"execution_count": 34,
"id": "24ff7ea2",
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Fitting 3 folds for each of 32 candidates, totalling 96 fits\n"
]
}
],
"source": [
"# from sklearn.model_selection import GridSearchCV\n",
"\n",
"# grid_params = {\n",
"# 'n_neighbors': [3, 5, 7 , 11],\n",
"# 'weights': ['uniform', 'distance'],\n",
"# 'metrics': ['euclidean', 'manhattan', 'chebyshev', 'minkowski'],\n",
"# 'metric': ['euclidean', 'manhattan', 'chebyshev', 'minkowski'],\n",
"# }\n",
"\n",
"# gs = GridSearchCV(\n",
@ -1260,28 +1268,28 @@
},
{
"cell_type": "code",
"execution_count": 34,
"id": "94f98446",
"execution_count": 36,
"id": "b3b0eac3",
"metadata": {},
"outputs": [],
"source": [
"# pd.DataFrame.from_dict(gs_results.cv_results_).sort_values('rank_test_score')"
"pd.DataFrame.from_dict(gs_results.cv_results_).sort_values('rank_test_score').to_csv('./gs_result.csv')"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "869ef7c5",
"execution_count": 37,
"id": "b68589fe",
"metadata": {},
"outputs": [],
"source": [
"# pd.DataFrame.from_dict(gs_results.cv_results_).sort_values('rank_test_score')[['rank_test_score','mean_fit_time','param_n_neighbors', 'param_metric', 'param_weights', 'mean_test_score']].to_csv('./gs_result_filtered.csv')"
"pd.DataFrame.from_dict(gs_results.cv_results_)[['rank_test_score','mean_fit_time','param_n_neighbors', 'param_metric', 'param_weights', 'mean_test_score']].to_csv('./gs_result_filtered.csv')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "bcb8d197",
"id": "b162e908",
"metadata": {},
"outputs": [],
"source": []

0
0-pilot-project/MNIST.ipynb → 0-pilot-project/MNIST-template.ipynb
View File

56
0-pilot-project/gs_result.csv
View File

@ -1,25 +1,33 @@
,mean_fit_time,std_fit_time,mean_score_time,std_score_time,param_metric,param_n_neighbors,param_weights,params,split0_test_score,split1_test_score,split2_test_score,mean_test_score,std_test_score,rank_test_score
1,0.6206035614013672,0.09060096919428257,1070.8031173547108,58.40420733215167,euclidean,3,distance,"{'metric': 'euclidean', 'n_neighbors': 3, 'weights': 'distance'}",0.9682862806021321,0.970589810896234,0.9706953819779278,0.9698571578254312,0.001111613767256926,1
0,0.3251535892486572,0.127680187632828,1156.720083475113,103.6800414474859,euclidean,3,uniform,"{'metric': 'euclidean', 'n_neighbors': 3, 'weights': 'uniform'}",0.9673755825788826,0.968714844377779,0.9698917818493518,0.9686607362686711,0.0010279463208361468,2
3,0.581209659576416,0.10390654521562699,1097.628236611684,49.50409271683481,euclidean,5,distance,"{'metric': 'euclidean', 'n_neighbors': 5, 'weights': 'distance'}",0.9670541597471474,0.9677505758825735,0.9693024750883961,0.968035736906039,0.0009397581516544441,3
5,0.3833950360616048,0.09814461155343633,1019.8115065892538,49.683140897762506,euclidean,7,distance,"{'metric': 'euclidean', 'n_neighbors': 7, 'weights': 'distance'}",0.9656077570043392,0.9673755825788826,0.9683917282760098,0.9671250226197438,0.0011502780041406022,4
2,0.5214482148488363,0.1338813546209848,1234.2422309716542,11.319769031350406,euclidean,5,uniform,"{'metric': 'euclidean', 'n_neighbors': 5, 'weights': 'uniform'}",0.9659291798360744,0.9661970321958536,0.9679095681988642,0.9666785934102641,0.0008772724469576776,5
4,0.38950196901957196,0.10594237544622603,1119.6926170190175,64.25975988670193,euclidean,7,uniform,"{'metric': 'euclidean', 'n_neighbors': 7, 'weights': 'uniform'}",0.9643756361493545,0.9659827503080303,0.9674809814636237,0.9659464559736696,0.0012680116558989624,6
7,0.44870662689208984,0.1539214539086042,1095.8349254131317,95.22915205238016,euclidean,11,distance,"{'metric': 'euclidean', 'n_neighbors': 11, 'weights': 'distance'}",0.9646434885091337,0.9632506562382814,0.9647487410264652,0.9642142952579601,0.0006827491697964685,7
6,0.6263217926025391,0.045471428070326544,1231.947474082311,10.357145120994318,euclidean,11,uniform,"{'metric': 'euclidean', 'n_neighbors': 11, 'weights': 'uniform'}",0.9637327904858842,0.961911394439385,0.9634094074788385,0.9630178641347026,0.000793452595644972,8
9,0.6597681840260824,0.08367258300110442,1603.911631822586,11.793869730582724,manhattan,3,distance,"{'metric': 'manhattan', 'n_neighbors': 3, 'weights': 'distance'}",0.961161407832003,0.9625006696308994,0.9638915675559842,0.9625178816729623,0.0011146494876286455,9
11,0.743593692779541,0.12585558461284738,1623.6791274547577,20.225285349079297,manhattan,5,distance,"{'metric': 'manhattan', 'n_neighbors': 5, 'weights': 'distance'}",0.9598757165050624,0.9628220924626346,0.9633558341369335,0.9620178810348768,0.001530331488777754,10
8,0.5049304962158203,0.03915105846837655,1631.9402144749959,11.72758222926691,manhattan,3,uniform,"{'metric': 'manhattan', 'n_neighbors': 3, 'weights': 'uniform'}",0.9600899983928859,0.9608935554722237,0.9630343940855031,0.9613393159835374,0.0012426834737134394,11
13,0.7563843727111816,0.0361495198811297,1650.8071510791779,2.759115546096175,manhattan,7,distance,"{'metric': 'manhattan', 'n_neighbors': 7, 'weights': 'distance'}",0.9593935822574597,0.9614828306637382,0.9609986070931105,0.9606250066714361,0.0008929063713852963,12
10,0.5714000860850016,0.200821086554179,1670.9476985931396,21.43965257048912,manhattan,5,uniform,"{'metric': 'manhattan', 'n_neighbors': 5, 'weights': 'uniform'}",0.9581078909305191,0.9610006964161354,0.9616950605378763,0.9602678826281769,0.0015534281409951467,13
12,0.7014182408650717,0.07630416360771637,1602.6147842407227,13.998164063202559,manhattan,7,uniform,"{'metric': 'manhattan', 'n_neighbors': 7, 'weights': 'uniform'}",0.9576793271548723,0.9597150050891948,0.9595521268616737,0.9589821530352469,0.0009236336882771337,14
15,0.5463813940684,0.20986627389723325,1621.221689303716,10.57220404161948,manhattan,11,distance,"{'metric': 'manhattan', 'n_neighbors': 11, 'weights': 'distance'}",0.9573043338511812,0.957036481491402,0.9578913532626165,0.9574107228683998,0.00035701578260487497,15
14,0.659561554590861,0.16166694480866448,1647.0242857138317,15.482865038769452,manhattan,11,uniform,"{'metric': 'manhattan', 'n_neighbors': 11, 'weights': 'uniform'}",0.9554829378046821,0.9555900787485938,0.9565520197149898,0.9558750120894218,0.00048071078572838955,16
19,5.247008244196574,3.982239002878492,1610.0853408177693,4.880005667545898,chebyshev,5,distance,"{'metric': 'chebyshev', 'n_neighbors': 5, 'weights': 'distance'}",0.798253602614239,0.8040392135854717,0.8051001821493625,0.8024643327830244,0.003008776051168824,17
21,20.442909558614094,10.268306972202161,1091.167144536972,373.74252764500056,chebyshev,7,distance,"{'metric': 'chebyshev', 'n_neighbors': 7, 'weights': 'distance'}",0.7973429045909894,0.8016285423474581,0.7997964213007608,0.7995892894130695,0.0017557240593918855,18
17,3.0204404989878335,3.242756624385942,1615.3644462426503,47.3978612160567,chebyshev,3,distance,"{'metric': 'chebyshev', 'n_neighbors': 3, 'weights': 'distance'}",0.7828788771629078,0.80393207264156,0.8089038894246223,0.7985716130763634,0.011280549953147328,19
23,27.638134558995564,4.867014100523201,734.1344640254974,31.858155565000086,chebyshev,11,distance,"{'metric': 'chebyshev', 'n_neighbors': 11, 'weights': 'distance'}",0.7919858573954036,0.7913965822038892,0.7912782599378549,0.7915535665123826,0.00030946900255889454,20
18,1.1796804269154866,0.7346351248980267,1684.378450314204,9.234898911008068,chebyshev,5,uniform,"{'metric': 'chebyshev', 'n_neighbors': 5, 'weights': 'uniform'}",0.783575293298334,0.7888251995500081,0.7891353262616522,0.7871786063699981,0.0025510708161656103,21
20,0.49048900604248047,0.05161896574410176,1679.1593386332195,1.1331046631334827,chebyshev,7,uniform,"{'metric': 'chebyshev', 'n_neighbors': 7, 'weights': 'uniform'}",0.7845395617935395,0.7868966625595971,0.7855994856959178,0.7856785700163514,0.0009639058573122337,22
16,0.6336509386698405,0.19319871048710188,1672.988091468811,6.364915306048909,chebyshev,3,uniform,"{'metric': 'chebyshev', 'n_neighbors': 3, 'weights': 'uniform'}",0.7702898162532812,0.7848074141533187,0.7878495660559306,0.7809822654875102,0.007662028670422474,23
22,21.680665890375774,3.469126600885206,794.0563353697459,13.966075572059058,chebyshev,11,uniform,"{'metric': 'chebyshev', 'n_neighbors': 11, 'weights': 'uniform'}",0.78052177639685,0.7794503669577328,0.7796528447444552,0.7798749960330128,0.0004647529399678837,24
1,0.45209089914957684,0.06397052266041096,999.4092309474945,57.61425639022496,euclidean,3,distance,"{'metric': 'euclidean', 'n_neighbors': 3, 'weights': 'distance'}",0.9682862806021321,0.970589810896234,0.9706953819779278,0.9698571578254312,0.001111613767256926,1
25,21.657216548919678,6.562207129397543,658.4712273279825,21.718713022707036,minkowski,3,distance,"{'metric': 'minkowski', 'n_neighbors': 3, 'weights': 'distance'}",0.9682862806021321,0.970589810896234,0.9706953819779278,0.9698571578254312,0.001111613767256926,1
0,0.24088136355082193,0.06316956409457818,1192.299196402232,50.58626950507389,euclidean,3,uniform,"{'metric': 'euclidean', 'n_neighbors': 3, 'weights': 'uniform'}",0.9673755825788826,0.968714844377779,0.9698917818493518,0.9686607362686711,0.0010279463208361468,3
24,25.903496742248535,4.992758052195091,692.2140617370605,11.112854827147826,minkowski,3,uniform,"{'metric': 'minkowski', 'n_neighbors': 3, 'weights': 'uniform'}",0.9673755825788826,0.968714844377779,0.9698917818493518,0.9686607362686711,0.0010279463208361468,3
3,0.8060687383015951,0.06892978221653173,1013.2562080224355,75.3525112337183,euclidean,5,distance,"{'metric': 'euclidean', 'n_neighbors': 5, 'weights': 'distance'}",0.9670541597471474,0.9677505758825735,0.9693024750883961,0.968035736906039,0.0009397581516544441,5
27,18.446327686309814,4.005850513858593,573.115521033605,23.174191252334296,minkowski,5,distance,"{'metric': 'minkowski', 'n_neighbors': 5, 'weights': 'distance'}",0.9670541597471474,0.9677505758825735,0.9693024750883961,0.968035736906039,0.0009397581516544441,5
5,0.5992098649342855,0.07186277124297363,1017.6772451400757,34.26075216888202,euclidean,7,distance,"{'metric': 'euclidean', 'n_neighbors': 7, 'weights': 'distance'}",0.9656077570043392,0.9673755825788826,0.9683917282760098,0.9671250226197438,0.0011502780041406022,7
29,4.765162626902263,5.8443026893869865,328.6635688940684,144.58640566271308,minkowski,7,distance,"{'metric': 'minkowski', 'n_neighbors': 7, 'weights': 'distance'}",0.9656077570043392,0.9673755825788826,0.9683917282760098,0.9671250226197438,0.0011502780041406022,7
2,0.6994575659434,0.015356819263441783,1095.269747654597,137.31109235190226,euclidean,5,uniform,"{'metric': 'euclidean', 'n_neighbors': 5, 'weights': 'uniform'}",0.9659291798360744,0.9661970321958536,0.9679095681988642,0.9666785934102641,0.0008772724469576776,9
26,23.48669679959615,1.6759845670112823,632.0995594660441,20.601423474278537,minkowski,5,uniform,"{'metric': 'minkowski', 'n_neighbors': 5, 'weights': 'uniform'}",0.9659291798360744,0.9661970321958536,0.9679095681988642,0.9666785934102641,0.0008772724469576776,9
4,0.44025548299153644,0.0758287971251788,1168.1676174799602,56.92121615266254,euclidean,7,uniform,"{'metric': 'euclidean', 'n_neighbors': 7, 'weights': 'uniform'}",0.9643756361493545,0.9659827503080303,0.9674809814636237,0.9659464559736696,0.0012680116558989624,11
28,7.9804831345876055,0.6540708832583817,555.8133392333984,9.00936445757863,minkowski,7,uniform,"{'metric': 'minkowski', 'n_neighbors': 7, 'weights': 'uniform'}",0.9643756361493545,0.9659827503080303,0.9674809814636237,0.9659464559736696,0.0012680116558989624,11
31,8.50082278251648,1.621605845735954,196.08954962094626,1.3816900473147211,minkowski,11,distance,"{'metric': 'minkowski', 'n_neighbors': 11, 'weights': 'distance'}",0.9646434885091337,0.9632506562382814,0.9647487410264652,0.9642142952579601,0.0006827491697964685,13
7,0.7990624904632568,0.1282461936094558,975.9963663419088,44.25576694480218,euclidean,11,distance,"{'metric': 'euclidean', 'n_neighbors': 11, 'weights': 'distance'}",0.9646434885091337,0.9632506562382814,0.9647487410264652,0.9642142952579601,0.0006827491697964685,13
6,0.7915481726328532,0.08623759342251494,1145.4038231372833,74.85467891924446,euclidean,11,uniform,"{'metric': 'euclidean', 'n_neighbors': 11, 'weights': 'uniform'}",0.9637327904858842,0.961911394439385,0.9634094074788385,0.9630178641347026,0.000793452595644972,15
30,10.588685592015585,1.6087105217852413,201.26371280352274,2.2649582169416336,minkowski,11,uniform,"{'metric': 'minkowski', 'n_neighbors': 11, 'weights': 'uniform'}",0.9637327904858842,0.961911394439385,0.9634094074788385,0.9630178641347026,0.000793452595644972,15
9,0.6443092028299967,0.10608035511283763,1677.8913025856018,6.004269765795684,manhattan,3,distance,"{'metric': 'manhattan', 'n_neighbors': 3, 'weights': 'distance'}",0.961161407832003,0.9625006696308994,0.9638915675559842,0.9625178816729623,0.0011146494876286455,17
11,0.7148999373118082,0.008760233194708403,1693.087656736374,8.233975406229284,manhattan,5,distance,"{'metric': 'manhattan', 'n_neighbors': 5, 'weights': 'distance'}",0.9598757165050624,0.9628220924626346,0.9633558341369335,0.9620178810348768,0.001530331488777754,18
8,0.8160308996836344,0.022248902226365025,1690.897030909856,7.2753788884689605,manhattan,3,uniform,"{'metric': 'manhattan', 'n_neighbors': 3, 'weights': 'uniform'}",0.9600899983928859,0.9608935554722237,0.9630343940855031,0.9613393159835374,0.0012426834737134394,19
13,0.5629308223724365,0.06472965342142153,1668.4245436191559,43.73084169083321,manhattan,7,distance,"{'metric': 'manhattan', 'n_neighbors': 7, 'weights': 'distance'}",0.9593935822574597,0.9614828306637382,0.9609986070931105,0.9606250066714361,0.0008929063713852963,20
10,0.6992981433868408,0.032215743239858076,1704.0290649731953,20.559117168848108,manhattan,5,uniform,"{'metric': 'manhattan', 'n_neighbors': 5, 'weights': 'uniform'}",0.9581078909305191,0.9610006964161354,0.9616950605378763,0.9602678826281769,0.0015534281409951467,21
12,0.6794727643330892,0.07876075037090115,1712.0297173659008,21.85360988956849,manhattan,7,uniform,"{'metric': 'manhattan', 'n_neighbors': 7, 'weights': 'uniform'}",0.9576793271548723,0.9597150050891948,0.9595521268616737,0.9589821530352469,0.0009236336882771337,22
15,0.6511789957682291,0.15808618845418762,1692.3637480735779,23.56656319039954,manhattan,11,distance,"{'metric': 'manhattan', 'n_neighbors': 11, 'weights': 'distance'}",0.9573043338511812,0.957036481491402,0.9578913532626165,0.9574107228683998,0.00035701578260487497,23
14,0.68438720703125,0.04445866248745549,1713.1744980017345,19.103531117726373,manhattan,11,uniform,"{'metric': 'manhattan', 'n_neighbors': 11, 'weights': 'uniform'}",0.9554829378046821,0.9555900787485938,0.9565520197149898,0.9558750120894218,0.00048071078572838955,24
19,0.6881767908732096,0.061379774439935524,1717.1829789479573,16.915261738894287,chebyshev,5,distance,"{'metric': 'chebyshev', 'n_neighbors': 5, 'weights': 'distance'}",0.798253602614239,0.8040392135854717,0.8051001821493625,0.8024643327830244,0.003008776051168824,25
21,16.667067527770996,15.441218680219292,1185.9401320616405,315.6661043980068,chebyshev,7,distance,"{'metric': 'chebyshev', 'n_neighbors': 7, 'weights': 'distance'}",0.7973429045909894,0.8016285423474581,0.7997964213007608,0.7995892894130695,0.0017557240593918855,26
17,0.7379094759623209,0.07479765096035686,1670.6096461613972,14.049244786125488,chebyshev,3,distance,"{'metric': 'chebyshev', 'n_neighbors': 3, 'weights': 'distance'}",0.7828788771629078,0.80393207264156,0.8089038894246223,0.7985716130763634,0.011280549953147328,27
23,27.93314504623413,5.1348714862784135,829.3955868085226,2.4736900006011777,chebyshev,11,distance,"{'metric': 'chebyshev', 'n_neighbors': 11, 'weights': 'distance'}",0.7919858573954036,0.7913965822038892,0.7912782599378549,0.7915535665123826,0.00030946900255889454,28
18,0.5327145258585612,0.05989825368793529,1682.6227543354034,26.35505225910284,chebyshev,5,uniform,"{'metric': 'chebyshev', 'n_neighbors': 5, 'weights': 'uniform'}",0.783575293298334,0.7888251995500081,0.7891353262616522,0.7871786063699981,0.0025510708161656103,29
20,9.50078543027242,11.813839927788138,1693.5935448805492,11.424742073634146,chebyshev,7,uniform,"{'metric': 'chebyshev', 'n_neighbors': 7, 'weights': 'uniform'}",0.7845395617935395,0.7868966625595971,0.7855994856959178,0.7856785700163514,0.0009639058573122337,30
16,0.5929841995239258,0.13394379144697757,1686.1720955371857,22.299417613052498,chebyshev,3,uniform,"{'metric': 'chebyshev', 'n_neighbors': 3, 'weights': 'uniform'}",0.7702898162532812,0.7848074141533187,0.7878495660559306,0.7809822654875102,0.007662028670422474,31
22,17.387149969736736,8.092605001620319,916.4972700277964,33.94860671344171,chebyshev,11,uniform,"{'metric': 'chebyshev', 'n_neighbors': 11, 'weights': 'uniform'}",0.78052177639685,0.7794503669577328,0.7796528447444552,0.7798749960330128,0.0004647529399678837,32

1 mean_fit_time std_fit_time mean_score_time std_score_time param_metric param_n_neighbors param_weights params split0_test_score split1_test_score split2_test_score mean_test_score std_test_score rank_test_score
2 1 0.6206035614013672 0.45209089914957684 0.09060096919428257 0.06397052266041096 1070.8031173547108 999.4092309474945 58.40420733215167 57.61425639022496 euclidean 3 distance {'metric': 'euclidean', 'n_neighbors': 3, 'weights': 'distance'} 0.9682862806021321 0.970589810896234 0.9706953819779278 0.9698571578254312 0.001111613767256926 1
3 0 25 0.3251535892486572 21.657216548919678 0.127680187632828 6.562207129397543 1156.720083475113 658.4712273279825 103.6800414474859 21.718713022707036 euclidean minkowski 3 uniform distance {'metric': 'euclidean', 'n_neighbors': 3, 'weights': 'uniform'} {'metric': 'minkowski', 'n_neighbors': 3, 'weights': 'distance'} 0.9673755825788826 0.9682862806021321 0.968714844377779 0.970589810896234 0.9698917818493518 0.9706953819779278 0.9686607362686711 0.9698571578254312 0.0010279463208361468 0.001111613767256926 2 1
4 3 0 0.581209659576416 0.24088136355082193 0.10390654521562699 0.06316956409457818 1097.628236611684 1192.299196402232 49.50409271683481 50.58626950507389 euclidean 5 3 distance uniform {'metric': 'euclidean', 'n_neighbors': 5, 'weights': 'distance'} {'metric': 'euclidean', 'n_neighbors': 3, 'weights': 'uniform'} 0.9670541597471474 0.9673755825788826 0.9677505758825735 0.968714844377779 0.9693024750883961 0.9698917818493518 0.968035736906039 0.9686607362686711 0.0009397581516544441 0.0010279463208361468 3
5 5 24 0.3833950360616048 25.903496742248535 0.09814461155343633 4.992758052195091 1019.8115065892538 692.2140617370605 49.683140897762506 11.112854827147826 euclidean minkowski 7 3 distance uniform {'metric': 'euclidean', 'n_neighbors': 7, 'weights': 'distance'} {'metric': 'minkowski', 'n_neighbors': 3, 'weights': 'uniform'} 0.9656077570043392 0.9673755825788826 0.9673755825788826 0.968714844377779 0.9683917282760098 0.9698917818493518 0.9671250226197438 0.9686607362686711 0.0011502780041406022 0.0010279463208361468 4 3
6 2 3 0.5214482148488363 0.8060687383015951 0.1338813546209848 0.06892978221653173 1234.2422309716542 1013.2562080224355 11.319769031350406 75.3525112337183 euclidean 5 uniform distance {'metric': 'euclidean', 'n_neighbors': 5, 'weights': 'uniform'} {'metric': 'euclidean', 'n_neighbors': 5, 'weights': 'distance'} 0.9659291798360744 0.9670541597471474 0.9661970321958536 0.9677505758825735 0.9679095681988642 0.9693024750883961 0.9666785934102641 0.968035736906039 0.0008772724469576776 0.0009397581516544441 5
7 4 27 0.38950196901957196 18.446327686309814 0.10594237544622603 4.005850513858593 1119.6926170190175 573.115521033605 64.25975988670193 23.174191252334296 euclidean minkowski 7 5 uniform distance {'metric': 'euclidean', 'n_neighbors': 7, 'weights': 'uniform'} {'metric': 'minkowski', 'n_neighbors': 5, 'weights': 'distance'} 0.9643756361493545 0.9670541597471474 0.9659827503080303 0.9677505758825735 0.9674809814636237 0.9693024750883961 0.9659464559736696 0.968035736906039 0.0012680116558989624 0.0009397581516544441 6 5
8 7 5 0.44870662689208984 0.5992098649342855 0.1539214539086042 0.07186277124297363 1095.8349254131317 1017.6772451400757 95.22915205238016 34.26075216888202 euclidean 11 7 distance {'metric': 'euclidean', 'n_neighbors': 11, 'weights': 'distance'} {'metric': 'euclidean', 'n_neighbors': 7, 'weights': 'distance'} 0.9646434885091337 0.9656077570043392 0.9632506562382814 0.9673755825788826 0.9647487410264652 0.9683917282760098 0.9642142952579601 0.9671250226197438 0.0006827491697964685 0.0011502780041406022 7
9 6 29 0.6263217926025391 4.765162626902263 0.045471428070326544 5.8443026893869865 1231.947474082311 328.6635688940684 10.357145120994318 144.58640566271308 euclidean minkowski 11 7 uniform distance {'metric': 'euclidean', 'n_neighbors': 11, 'weights': 'uniform'} {'metric': 'minkowski', 'n_neighbors': 7, 'weights': 'distance'} 0.9637327904858842 0.9656077570043392 0.961911394439385 0.9673755825788826 0.9634094074788385 0.9683917282760098 0.9630178641347026 0.9671250226197438 0.000793452595644972 0.0011502780041406022 8 7
10 9 2 0.6597681840260824 0.6994575659434 0.08367258300110442 0.015356819263441783 1603.911631822586 1095.269747654597 11.793869730582724 137.31109235190226 manhattan euclidean 3 5 distance uniform {'metric': 'manhattan', 'n_neighbors': 3, 'weights': 'distance'} {'metric': 'euclidean', 'n_neighbors': 5, 'weights': 'uniform'} 0.961161407832003 0.9659291798360744 0.9625006696308994 0.9661970321958536 0.9638915675559842 0.9679095681988642 0.9625178816729623 0.9666785934102641 0.0011146494876286455 0.0008772724469576776 9
11 11 26 0.743593692779541 23.48669679959615 0.12585558461284738 1.6759845670112823 1623.6791274547577 632.0995594660441 20.225285349079297 20.601423474278537 manhattan minkowski 5 distance uniform {'metric': 'manhattan', 'n_neighbors': 5, 'weights': 'distance'} {'metric': 'minkowski', 'n_neighbors': 5, 'weights': 'uniform'} 0.9598757165050624 0.9659291798360744 0.9628220924626346 0.9661970321958536 0.9633558341369335 0.9679095681988642 0.9620178810348768 0.9666785934102641 0.001530331488777754 0.0008772724469576776 10 9
12 8 4 0.5049304962158203 0.44025548299153644 0.03915105846837655 0.0758287971251788 1631.9402144749959 1168.1676174799602 11.72758222926691 56.92121615266254 manhattan euclidean 3 7 uniform {'metric': 'manhattan', 'n_neighbors': 3, 'weights': 'uniform'} {'metric': 'euclidean', 'n_neighbors': 7, 'weights': 'uniform'} 0.9600899983928859 0.9643756361493545 0.9608935554722237 0.9659827503080303 0.9630343940855031 0.9674809814636237 0.9613393159835374 0.9659464559736696 0.0012426834737134394 0.0012680116558989624 11
13 13 28 0.7563843727111816 7.9804831345876055 0.0361495198811297 0.6540708832583817 1650.8071510791779 555.8133392333984 2.759115546096175 9.00936445757863 manhattan minkowski 7 distance uniform {'metric': 'manhattan', 'n_neighbors': 7, 'weights': 'distance'} {'metric': 'minkowski', 'n_neighbors': 7, 'weights': 'uniform'} 0.9593935822574597 0.9643756361493545 0.9614828306637382 0.9659827503080303 0.9609986070931105 0.9674809814636237 0.9606250066714361 0.9659464559736696 0.0008929063713852963 0.0012680116558989624 12 11
14 10 31 0.5714000860850016 8.50082278251648 0.200821086554179 1.621605845735954 1670.9476985931396 196.08954962094626 21.43965257048912 1.3816900473147211 manhattan minkowski 5 11 uniform distance {'metric': 'manhattan', 'n_neighbors': 5, 'weights': 'uniform'} {'metric': 'minkowski', 'n_neighbors': 11, 'weights': 'distance'} 0.9581078909305191 0.9646434885091337 0.9610006964161354 0.9632506562382814 0.9616950605378763 0.9647487410264652 0.9602678826281769 0.9642142952579601 0.0015534281409951467 0.0006827491697964685 13
15 12 7 0.7014182408650717 0.7990624904632568 0.07630416360771637 0.1282461936094558 1602.6147842407227 975.9963663419088 13.998164063202559 44.25576694480218 manhattan euclidean 7 11 uniform distance {'metric': 'manhattan', 'n_neighbors': 7, 'weights': 'uniform'} {'metric': 'euclidean', 'n_neighbors': 11, 'weights': 'distance'} 0.9576793271548723 0.9646434885091337 0.9597150050891948 0.9632506562382814 0.9595521268616737 0.9647487410264652 0.9589821530352469 0.9642142952579601 0.0009236336882771337 0.0006827491697964685 14 13
16 15 6 0.5463813940684 0.7915481726328532 0.20986627389723325 0.08623759342251494 1621.221689303716 1145.4038231372833 10.57220404161948 74.85467891924446 manhattan euclidean 11 distance uniform {'metric': 'manhattan', 'n_neighbors': 11, 'weights': 'distance'} {'metric': 'euclidean', 'n_neighbors': 11, 'weights': 'uniform'} 0.9573043338511812 0.9637327904858842 0.957036481491402 0.961911394439385 0.9578913532626165 0.9634094074788385 0.9574107228683998 0.9630178641347026 0.00035701578260487497 0.000793452595644972 15
17 14 30 0.659561554590861 10.588685592015585 0.16166694480866448 1.6087105217852413 1647.0242857138317 201.26371280352274 15.482865038769452 2.2649582169416336 manhattan minkowski 11 uniform {'metric': 'manhattan', 'n_neighbors': 11, 'weights': 'uniform'} {'metric': 'minkowski', 'n_neighbors': 11, 'weights': 'uniform'} 0.9554829378046821 0.9637327904858842 0.9555900787485938 0.961911394439385 0.9565520197149898 0.9634094074788385 0.9558750120894218 0.9630178641347026 0.00048071078572838955 0.000793452595644972 16 15
18 19 9 5.247008244196574 0.6443092028299967 3.982239002878492 0.10608035511283763 1610.0853408177693 1677.8913025856018 4.880005667545898 6.004269765795684 chebyshev manhattan 5 3 distance {'metric': 'chebyshev', 'n_neighbors': 5, 'weights': 'distance'} {'metric': 'manhattan', 'n_neighbors': 3, 'weights': 'distance'} 0.798253602614239 0.961161407832003 0.8040392135854717 0.9625006696308994 0.8051001821493625 0.9638915675559842 0.8024643327830244 0.9625178816729623 0.003008776051168824 0.0011146494876286455 17
19 21 11 20.442909558614094 0.7148999373118082 10.268306972202161 0.008760233194708403 1091.167144536972 1693.087656736374 373.74252764500056 8.233975406229284 chebyshev manhattan 7 5 distance {'metric': 'chebyshev', 'n_neighbors': 7, 'weights': 'distance'} {'metric': 'manhattan', 'n_neighbors': 5, 'weights': 'distance'} 0.7973429045909894 0.9598757165050624 0.8016285423474581 0.9628220924626346 0.7997964213007608 0.9633558341369335 0.7995892894130695 0.9620178810348768 0.0017557240593918855 0.001530331488777754 18
20 17 8 3.0204404989878335 0.8160308996836344 3.242756624385942 0.022248902226365025 1615.3644462426503 1690.897030909856 47.3978612160567 7.2753788884689605 chebyshev manhattan 3 distance uniform {'metric': 'chebyshev', 'n_neighbors': 3, 'weights': 'distance'} {'metric': 'manhattan', 'n_neighbors': 3, 'weights': 'uniform'} 0.7828788771629078 0.9600899983928859 0.80393207264156 0.9608935554722237 0.8089038894246223 0.9630343940855031 0.7985716130763634 0.9613393159835374 0.011280549953147328 0.0012426834737134394 19
21 23 13 27.638134558995564 0.5629308223724365 4.867014100523201 0.06472965342142153 734.1344640254974 1668.4245436191559 31.858155565000086 43.73084169083321 chebyshev manhattan 11 7 distance {'metric': 'chebyshev', 'n_neighbors': 11, 'weights': 'distance'} {'metric': 'manhattan', 'n_neighbors': 7, 'weights': 'distance'} 0.7919858573954036 0.9593935822574597 0.7913965822038892 0.9614828306637382 0.7912782599378549 0.9609986070931105 0.7915535665123826 0.9606250066714361 0.00030946900255889454 0.0008929063713852963 20
22 18 10 1.1796804269154866 0.6992981433868408 0.7346351248980267 0.032215743239858076 1684.378450314204 1704.0290649731953 9.234898911008068 20.559117168848108 chebyshev manhattan 5 uniform {'metric': 'chebyshev', 'n_neighbors': 5, 'weights': 'uniform'} {'metric': 'manhattan', 'n_neighbors': 5, 'weights': 'uniform'} 0.783575293298334 0.9581078909305191 0.7888251995500081 0.9610006964161354 0.7891353262616522 0.9616950605378763 0.7871786063699981 0.9602678826281769 0.0025510708161656103 0.0015534281409951467 21
23 20 12 0.49048900604248047 0.6794727643330892 0.05161896574410176 0.07876075037090115 1679.1593386332195 1712.0297173659008 1.1331046631334827 21.85360988956849 chebyshev manhattan 7 uniform {'metric': 'chebyshev', 'n_neighbors': 7, 'weights': 'uniform'} {'metric': 'manhattan', 'n_neighbors': 7, 'weights': 'uniform'} 0.7845395617935395 0.9576793271548723 0.7868966625595971 0.9597150050891948 0.7855994856959178 0.9595521268616737 0.7856785700163514 0.9589821530352469 0.0009639058573122337 0.0009236336882771337 22
24 16 15 0.6336509386698405 0.6511789957682291 0.19319871048710188 0.15808618845418762 1672.988091468811 1692.3637480735779 6.364915306048909 23.56656319039954 chebyshev manhattan 3 11 uniform distance {'metric': 'chebyshev', 'n_neighbors': 3, 'weights': 'uniform'} {'metric': 'manhattan', 'n_neighbors': 11, 'weights': 'distance'} 0.7702898162532812 0.9573043338511812 0.7848074141533187 0.957036481491402 0.7878495660559306 0.9578913532626165 0.7809822654875102 0.9574107228683998 0.007662028670422474 0.00035701578260487497 23
25 22 14 21.680665890375774 0.68438720703125 3.469126600885206 0.04445866248745549 794.0563353697459 1713.1744980017345 13.966075572059058 19.103531117726373 chebyshev manhattan 11 uniform {'metric': 'chebyshev', 'n_neighbors': 11, 'weights': 'uniform'} {'metric': 'manhattan', 'n_neighbors': 11, 'weights': 'uniform'} 0.78052177639685 0.9554829378046821 0.7794503669577328 0.9555900787485938 0.7796528447444552 0.9565520197149898 0.7798749960330128 0.9558750120894218 0.0004647529399678837 0.00048071078572838955 24
26 19 0.6881767908732096 0.061379774439935524 1717.1829789479573 16.915261738894287 chebyshev 5 distance {'metric': 'chebyshev', 'n_neighbors': 5, 'weights': 'distance'} 0.798253602614239 0.8040392135854717 0.8051001821493625 0.8024643327830244 0.003008776051168824 25
27 21 16.667067527770996 15.441218680219292 1185.9401320616405 315.6661043980068 chebyshev 7 distance {'metric': 'chebyshev', 'n_neighbors': 7, 'weights': 'distance'} 0.7973429045909894 0.8016285423474581 0.7997964213007608 0.7995892894130695 0.0017557240593918855 26
28 17 0.7379094759623209 0.07479765096035686 1670.6096461613972 14.049244786125488 chebyshev 3 distance {'metric': 'chebyshev', 'n_neighbors': 3, 'weights': 'distance'} 0.7828788771629078 0.80393207264156 0.8089038894246223 0.7985716130763634 0.011280549953147328 27
29 23 27.93314504623413 5.1348714862784135 829.3955868085226 2.4736900006011777 chebyshev 11 distance {'metric': 'chebyshev', 'n_neighbors': 11, 'weights': 'distance'} 0.7919858573954036 0.7913965822038892 0.7912782599378549 0.7915535665123826 0.00030946900255889454 28
30 18 0.5327145258585612 0.05989825368793529 1682.6227543354034 26.35505225910284 chebyshev 5 uniform {'metric': 'chebyshev', 'n_neighbors': 5, 'weights': 'uniform'} 0.783575293298334 0.7888251995500081 0.7891353262616522 0.7871786063699981 0.0025510708161656103 29
31 20 9.50078543027242 11.813839927788138 1693.5935448805492 11.424742073634146 chebyshev 7 uniform {'metric': 'chebyshev', 'n_neighbors': 7, 'weights': 'uniform'} 0.7845395617935395 0.7868966625595971 0.7855994856959178 0.7856785700163514 0.0009639058573122337 30
32 16 0.5929841995239258 0.13394379144697757 1686.1720955371857 22.299417613052498 chebyshev 3 uniform {'metric': 'chebyshev', 'n_neighbors': 3, 'weights': 'uniform'} 0.7702898162532812 0.7848074141533187 0.7878495660559306 0.7809822654875102 0.007662028670422474 31
33 22 17.387149969736736 8.092605001620319 916.4972700277964 33.94860671344171 chebyshev 11 uniform {'metric': 'chebyshev', 'n_neighbors': 11, 'weights': 'uniform'} 0.78052177639685 0.7794503669577328 0.7796528447444552 0.7798749960330128 0.0004647529399678837 32

56
0-pilot-project/gs_result_filtered.csv
View File

@ -1,25 +1,33 @@
,rank_test_score,mean_fit_time,param_n_neighbors,param_metric,param_weights,mean_test_score
1,1,0.6206035614013672,3,euclidean,distance,0.9698571578254312
0,2,0.3251535892486572,3,euclidean,uniform,0.9686607362686711
3,3,0.581209659576416,5,euclidean,distance,0.968035736906039
5,4,0.3833950360616048,7,euclidean,distance,0.9671250226197438
2,5,0.5214482148488363,5,euclidean,uniform,0.9666785934102641
4,6,0.38950196901957196,7,euclidean,uniform,0.9659464559736696
7,7,0.44870662689208984,11,euclidean,distance,0.9642142952579601
6,8,0.6263217926025391,11,euclidean,uniform,0.9630178641347026
9,9,0.6597681840260824,3,manhattan,distance,0.9625178816729623
11,10,0.743593692779541,5,manhattan,distance,0.9620178810348768
8,11,0.5049304962158203,3,manhattan,uniform,0.9613393159835374
13,12,0.7563843727111816,7,manhattan,distance,0.9606250066714361
10,13,0.5714000860850016,5,manhattan,uniform,0.9602678826281769
12,14,0.7014182408650717,7,manhattan,uniform,0.9589821530352469
15,15,0.5463813940684,11,manhattan,distance,0.9574107228683998
14,16,0.659561554590861,11,manhattan,uniform,0.9558750120894218
19,17,5.247008244196574,5,chebyshev,distance,0.8024643327830244
21,18,20.442909558614094,7,chebyshev,distance,0.7995892894130695
17,19,3.0204404989878335,3,chebyshev,distance,0.7985716130763634
23,20,27.638134558995564,11,chebyshev,distance,0.7915535665123826
18,21,1.1796804269154866,5,chebyshev,uniform,0.7871786063699981
20,22,0.49048900604248047,7,chebyshev,uniform,0.7856785700163514
16,23,0.6336509386698405,3,chebyshev,uniform,0.7809822654875102
22,24,21.680665890375774,11,chebyshev,uniform,0.7798749960330128
0,3,0.24088136355082193,3,euclidean,uniform,0.9686607362686711
1,1,0.45209089914957684,3,euclidean,distance,0.9698571578254312
2,9,0.6994575659434,5,euclidean,uniform,0.9666785934102641
3,5,0.8060687383015951,5,euclidean,distance,0.968035736906039
4,11,0.44025548299153644,7,euclidean,uniform,0.9659464559736696
5,7,0.5992098649342855,7,euclidean,distance,0.9671250226197438
6,15,0.7915481726328532,11,euclidean,uniform,0.9630178641347026
7,13,0.7990624904632568,11,euclidean,distance,0.9642142952579601
8,19,0.8160308996836344,3,manhattan,uniform,0.9613393159835374
9,17,0.6443092028299967,3,manhattan,distance,0.9625178816729623
10,21,0.6992981433868408,5,manhattan,uniform,0.9602678826281769
11,18,0.7148999373118082,5,manhattan,distance,0.9620178810348768
12,22,0.6794727643330892,7,manhattan,uniform,0.9589821530352469
13,20,0.5629308223724365,7,manhattan,distance,0.9606250066714361
14,24,0.68438720703125,11,manhattan,uniform,0.9558750120894218
15,23,0.6511789957682291,11,manhattan,distance,0.9574107228683998
16,31,0.5929841995239258,3,chebyshev,uniform,0.7809822654875102
17,27,0.7379094759623209,3,chebyshev,distance,0.7985716130763634
18,29,0.5327145258585612,5,chebyshev,uniform,0.7871786063699981
19,25,0.6881767908732096,5,chebyshev,distance,0.8024643327830244
20,30,9.50078543027242,7,chebyshev,uniform,0.7856785700163514
21,26,16.667067527770996,7,chebyshev,distance,0.7995892894130695
22,32,17.387149969736736,11,chebyshev,uniform,0.7798749960330128
23,28,27.93314504623413,11,chebyshev,distance,0.7915535665123826
24,3,25.903496742248535,3,minkowski,uniform,0.9686607362686711
25,1,21.657216548919678,3,minkowski,distance,0.9698571578254312
26,9,23.48669679959615,5,minkowski,uniform,0.9666785934102641
27,5,18.446327686309814,5,minkowski,distance,0.968035736906039
28,11,7.9804831345876055,7,minkowski,uniform,0.9659464559736696
29,7,4.765162626902263,7,minkowski,distance,0.9671250226197438
30,15,10.588685592015585,11,minkowski,uniform,0.9630178641347026
31,13,8.50082278251648,11,minkowski,distance,0.9642142952579601

1 rank_test_score mean_fit_time param_n_neighbors param_metric param_weights mean_test_score
2 1 0 1 3 0.6206035614013672 0.24088136355082193 3 euclidean distance uniform 0.9698571578254312 0.9686607362686711
3 0 1 2 1 0.3251535892486572 0.45209089914957684 3 euclidean uniform distance 0.9686607362686711 0.9698571578254312
4 3 2 3 9 0.581209659576416 0.6994575659434 5 euclidean distance uniform 0.968035736906039 0.9666785934102641
5 5 3 4 5 0.3833950360616048 0.8060687383015951 7 5 euclidean distance 0.9671250226197438 0.968035736906039
6 2 4 5 11 0.5214482148488363 0.44025548299153644 5 7 euclidean uniform 0.9666785934102641 0.9659464559736696
7 4 5 6 7 0.38950196901957196 0.5992098649342855 7 euclidean uniform distance 0.9659464559736696 0.9671250226197438
8 7 6 7 15 0.44870662689208984 0.7915481726328532 11 euclidean distance uniform 0.9642142952579601 0.9630178641347026
9 6 7 8 13 0.6263217926025391 0.7990624904632568 11 euclidean uniform distance 0.9630178641347026 0.9642142952579601
10 9 8 9 19 0.6597681840260824 0.8160308996836344 3 manhattan distance uniform 0.9625178816729623 0.9613393159835374
11 11 9 10 17 0.743593692779541 0.6443092028299967 5 3 manhattan distance 0.9620178810348768 0.9625178816729623
12 8 10 11 21 0.5049304962158203 0.6992981433868408 3 5 manhattan uniform 0.9613393159835374 0.9602678826281769
13 13 11 12 18 0.7563843727111816 0.7148999373118082 7 5 manhattan distance 0.9606250066714361 0.9620178810348768
14 10 12 13 22 0.5714000860850016 0.6794727643330892 5 7 manhattan uniform 0.9602678826281769 0.9589821530352469
15 12 13 14 20 0.7014182408650717 0.5629308223724365 7 manhattan uniform distance 0.9589821530352469 0.9606250066714361
16 15 14 15 24 0.5463813940684 0.68438720703125 11 manhattan distance uniform 0.9574107228683998 0.9558750120894218
17 14 15 16 23 0.659561554590861 0.6511789957682291 11 manhattan uniform distance 0.9558750120894218 0.9574107228683998
18 19 16 17 31 5.247008244196574 0.5929841995239258 5 3 chebyshev distance uniform 0.8024643327830244 0.7809822654875102
19 21 17 18 27 20.442909558614094 0.7379094759623209 7 3 chebyshev distance 0.7995892894130695 0.7985716130763634
20 17 18 19 29 3.0204404989878335 0.5327145258585612 3 5 chebyshev distance uniform 0.7985716130763634 0.7871786063699981
21 23 19 20 25 27.638134558995564 0.6881767908732096 11 5 chebyshev distance 0.7915535665123826 0.8024643327830244
22 18 20 21 30 1.1796804269154866 9.50078543027242 5 7 chebyshev uniform 0.7871786063699981 0.7856785700163514
23 20 21 22 26 0.49048900604248047 16.667067527770996 7 chebyshev uniform distance 0.7856785700163514 0.7995892894130695
24 16 22 23 32 0.6336509386698405 17.387149969736736 3 11 chebyshev uniform 0.7809822654875102 0.7798749960330128
25 22 23 24 28 21.680665890375774 27.93314504623413 11 chebyshev uniform distance 0.7798749960330128 0.7915535665123826
26 24 3 25.903496742248535 3 minkowski uniform 0.9686607362686711
27 25 1 21.657216548919678 3 minkowski distance 0.9698571578254312
28 26 9 23.48669679959615 5 minkowski uniform 0.9666785934102641
29 27 5 18.446327686309814 5 minkowski distance 0.968035736906039
30 28 11 7.9804831345876055 7 minkowski uniform 0.9659464559736696
31 29 7 4.765162626902263 7 minkowski distance 0.9671250226197438
32 30 15 10.588685592015585 11 minkowski uniform 0.9630178641347026
33 31 13 8.50082278251648 11 minkowski distance 0.9642142952579601