Commit c6f82fba authored by Paul Primus's avatar Paul Primus
Browse files

add final submission package

parent 483f75aa
......@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
"execution_count": 144,
"execution_count": 1,
"outputs": [],
"source": [
"from pymongo import MongoClient\n",
......@@ -93,7 +93,7 @@
},
{
"cell_type": "code",
"execution_count": 145,
"execution_count": 2,
"outputs": [
{
"name": "stdout",
......@@ -118,7 +118,7 @@
},
{
"cell_type": "code",
"execution_count": 146,
"execution_count": 3,
"outputs": [
{
"name": "stdout",
......@@ -145,7 +145,7 @@
},
{
"cell_type": "code",
"execution_count": 147,
"execution_count": 4,
"outputs": [
{
"name": "stdout",
......@@ -173,7 +173,7 @@
},
{
"cell_type": "code",
"execution_count": 148,
"execution_count": 5,
"outputs": [],
"source": [
"# Extract Results\n",
......@@ -202,30 +202,30 @@
},
{
"cell_type": "code",
"execution_count": 149,
"execution_count": 6,
"outputs": [
{
"name": "stdout",
"text": [
"Best Model for Machine Type 0: [ 8 2 10 1 5 6 11 4 9 7 13 12 3 0]\n",
"Best Model for Machine Type 1: [ 8 4 2 6 9 10 13 11 5 1 7 3 12 0]\n",
"Best Model for Machine Type 2: [ 4 10 1 8 5 9 11 13 6 2 12 3 7 0]\n",
"Best Model for Machine Type 3: [11 1 12 10 5 2 4 9 8 13 6 3 7 0]\n",
"Best Model for Machine Type 4: [13 9 1 5 4 6 7 2 3 12 10 11 8 0]\n",
"Best Model for Machine Type 5: [ 8 12 3 11 7 4 10 6 2 13 5 1 9 0]\n",
"00: ID-04 resnet_gridsearch_a_bit_larger_loose_1e-4_100_BCE\n",
"01: ID-08 resnet_gridsearch_2_a_bit_larger_loose_1e-4_0.99_100_BCE\n",
"02: ID-10 resnet_gridsearch_a_bit_larger_loose_1e-4_100_AUC\n",
"03: ID-01 resnet_gridsearch_a_bit_larger_loose_1e-5_100_BCE\n",
"04: ID-11 resnet_gridsearch_a_bit_smaller_loose_1e-4_100_BCE\n",
"Best Model for Machine Type 0: [ 8 9 11 6 5 3 7 12 10 1 13 4 2 0]\n",
"Best Model for Machine Type 1: [ 8 12 9 3 10 11 13 7 5 6 1 2 4 0]\n",
"Best Model for Machine Type 2: [12 11 6 8 5 10 7 13 3 9 4 2 1 0]\n",
"Best Model for Machine Type 3: [ 7 6 4 11 5 9 12 10 8 13 3 2 1 0]\n",
"Best Model for Machine Type 4: [13 10 6 5 12 3 1 9 2 4 11 7 8 0]\n",
"Best Model for Machine Type 5: [ 8 4 2 7 1 12 11 3 9 13 5 6 10 0]\n",
"00: ID-08 resnet_gridsearch_2_a_bit_larger_loose_1e-4_0.99_100_BCE\n",
"01: ID-12 resnet_gridsearch_a_bit_larger_loose_1e-4_100_BCE\n",
"02: ID-11 resnet_gridsearch_a_bit_larger_loose_1e-4_100_AUC\n",
"03: ID-06 resnet_gridsearch_a_bit_larger_loose_1e-5_100_BCE\n",
"04: ID-07 resnet_gridsearch_a_bit_smaller_loose_1e-4_100_BCE\n",
"05: ID-05 resnet_gridsearch_a_bit_larger_loose_1e-5_100_AUC\n",
"06: ID-02 resnet_gridsearch_normal_loose_1e-4_100_BCE\n",
"07: ID-09 resnet_gridsearch_normal_loose_1e-5_100_BCE\n",
"08: ID-06 resnet_gridsearch_normal_loose_1e-4_100_AUC\n",
"09: ID-12 resnet_gridsearch_a_bit_smaller_loose_1e-4_100_AUC\n",
"06: ID-09 resnet_gridsearch_normal_loose_1e-4_100_BCE\n",
"07: ID-10 resnet_gridsearch_normal_loose_1e-5_100_BCE\n",
"08: ID-03 resnet_gridsearch_normal_loose_1e-4_100_AUC\n",
"09: ID-04 resnet_gridsearch_a_bit_smaller_loose_1e-4_100_AUC\n",
"10: ID-13 resnet_gridsearch_normal_loose_1e-5_100_AUC\n",
"11: ID-07 resnet_gridsearch_a_bit_smaller_loose_1e-5_100_AUC\n",
"12: ID-03 resnet_gridsearch_a_bit_smaller_loose_1e-5_100_BCE\n",
"11: ID-01 resnet_gridsearch_a_bit_smaller_loose_1e-5_100_AUC\n",
"12: ID-02 resnet_gridsearch_a_bit_smaller_loose_1e-5_100_BCE\n",
"13: ID-00 baseline\n"
],
"output_type": "stream"
......@@ -265,7 +265,7 @@
},
{
"cell_type": "code",
"execution_count": 156,
"execution_count": 7,
"outputs": [],
"source": [
"import sklearn\n",
......@@ -288,7 +288,7 @@
},
{
"cell_type": "code",
"execution_count": 157,
"execution_count": 8,
"outputs": [],
"source": [
"# Create Submission 1"
......@@ -303,9 +303,18 @@
},
{
"cell_type": "code",
"execution_count": 158,
"outputs": [],
"execution_count": 21,
"outputs": [
{
"name": "stdout",
"text": [
"resnet_gridsearch_2_a_bit_larger_loose_1e-4_0.99_100_BCE\n"
],
"output_type": "stream"
}
],
"source": [
"print(run_ids[sorted_model_indices[0]])\n",
"for machine_type in range(6):\n",
" for machine_id in EVALUATION_ID_MAP[machine_type]:\n",
" best_model_folder = run_ids[sorted_model_indices[0]]\n",
......@@ -325,34 +334,36 @@
},
{
"cell_type": "code",
"execution_count": 159,
"execution_count": 20,
"outputs": [
{
"name": "stdout",
"text": [
"resnet_gridsearch_2_a_bit_larger_loose_1e-4_0.99_100_BCE\n",
"\tfan:\n",
"\t\taveraged_auc: 0.9226685446121019\n",
"\t\taveraged_pauc: 0.8230212986543588\n",
"\t\taveraged_auc: 0.9344751194772806\n",
"\t\taveraged_pauc: 0.8364269016605993\n",
"\tpump:\n",
"\t\taveraged_auc: 0.9297781495399142\n",
"\t\taveraged_pauc: 0.8722867745313565\n",
"\t\taveraged_auc: 0.9300024538524538\n",
"\t\taveraged_pauc: 0.8738435129147204\n",
"\tslider:\n",
"\t\taveraged_auc: 0.9894779962546816\n",
"\t\taveraged_pauc: 0.9454464813719693\n",
"\t\taveraged_auc: 0.9836423220973782\n",
"\t\taveraged_pauc: 0.9154346540508576\n",
"\tToyCar:\n",
"\t\taveraged_auc: 0.9489897900841298\n",
"\t\taveraged_pauc: 0.8752479934828495\n",
"\t\taveraged_auc: 0.931301008739688\n",
"\t\taveraged_pauc: 0.8765960785325235\n",
"\tToyConveyor:\n",
"\t\taveraged_auc: 0.83764533636162\n",
"\t\taveraged_pauc: 0.7279798253268154\n",
"\t\taveraged_auc: 0.798378625478885\n",
"\t\taveraged_pauc: 0.7003532276454104\n",
"\tvalve:\n",
"\t\taveraged_auc: 0.9424583333333334\n",
"\t\taveraged_pauc: 0.8903508771929824\n"
"\t\taveraged_auc: 0.9858539915966387\n",
"\t\taveraged_pauc: 0.9664464469998526\n"
],
"output_type": "stream"
}
],
"source": [
"print(run_ids[sorted_model_indices[0]])\n",
"for machine_type in range(6):\n",
" auc = []\n",
" pauc = []\n",
......@@ -393,7 +404,7 @@
},
{
"cell_type": "code",
"execution_count": 161,
"execution_count": 11,
"outputs": [],
"source": [
"for machine_type, idxes in enumerate(best_idxes):\n",
......@@ -419,17 +430,17 @@
},
{
"cell_type": "code",
"execution_count": 137,
"execution_count": 12,
"outputs": [
{
"name": "stdout",
"text": [
"\tfan:\n",
"\t\taveraged_auc: 0.9286317167841518\n",
"\t\taveraged_pauc: 0.8352913487070679\n",
"\t\taveraged_auc: 0.9344751194772806\n",
"\t\taveraged_pauc: 0.8364269016605993\n",
"\tpump:\n",
"\t\taveraged_auc: 0.9297781495399142\n",
"\t\taveraged_pauc: 0.8722867745313565\n",
"\t\taveraged_auc: 0.9300024538524538\n",
"\t\taveraged_pauc: 0.8738435129147204\n",
"\tslider:\n",
"\t\taveraged_auc: 0.9894779962546816\n",
"\t\taveraged_pauc: 0.9454464813719693\n",
......@@ -440,8 +451,8 @@
"\t\taveraged_auc: 0.8526503235962499\n",
"\t\taveraged_pauc: 0.7259891865658302\n",
"\tvalve:\n",
"\t\taveraged_auc: 0.9776656162464985\n",
"\t\taveraged_pauc: 0.9357400855078873\n"
"\t\taveraged_auc: 0.9858539915966387\n",
"\t\taveraged_pauc: 0.9664464469998526\n"
],
"output_type": "stream"
}
......@@ -471,7 +482,7 @@
},
{
"cell_type": "code",
"execution_count": 162,
"execution_count": 13,
"outputs": [],
"source": [
"# Create Submission 3 # median ensemble"
......@@ -486,7 +497,7 @@
},
{
"cell_type": "code",
"execution_count": 168,
"execution_count": 14,
"outputs": [],
"source": [
"for machine_type, idxes in enumerate(best_idxes):\n",
......@@ -516,7 +527,7 @@
},
{
"cell_type": "code",
"execution_count": 169,
"execution_count": 15,
"outputs": [
{
"name": "stdout",
......@@ -576,7 +587,7 @@
},
{
"cell_type": "code",
"execution_count": 165,
"execution_count": 16,
"outputs": [],
"source": [
"# Create Submission 4 # mean ensemble"
......@@ -591,7 +602,7 @@
},
{
"cell_type": "code",
"execution_count": 175,
"execution_count": 17,
"outputs": [],
"source": [
"for machine_type, idxes in enumerate(best_idxes):\n",
......@@ -621,7 +632,7 @@
},
{
"cell_type": "code",
"execution_count": 176,
"execution_count": 18,
"outputs": [
{
"name": "stdout",
......
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