9203916 2506 Irfan Nur Afif 167133 Supervised Classification area_under_roc_curve 8593 keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(2) 7133498 batch_size 1024 8593 build_fn {"oml-python:serialized_object": "function", "value": "__main__.alexnet"} 8593 epochs 3 8593 layer0 {"class_name": "Reshape", "config": {"batch_input_shape": [null, 3072], "dtype": "float32", "name": "reshape_1", "target_shape": [32, 32, 3], "trainable": true}} 8593 layer1 {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 96, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_1", "padding": "same", "strides": [2, 2], "trainable": true, "use_bias": true}} 8593 layer10 {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_3", "padding": "valid", "pool_size": [3, 3], "strides": [2, 2], "trainable": true}} 8593 layer11 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_3", "scale": true, "trainable": true}} 8593 layer12 {"class_name": "Flatten", "config": {"data_format": "channels_last", "name": "flatten_1", "trainable": true}} 8593 layer13 {"class_name": "Dense", "config": {"activation": "tanh", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "name": "dense_1", "trainable": true, "units": 4096, "use_bias": true}} 8593 layer14 {"class_name": "Dropout", "config": {"name": "dropout_1", "noise_shape": null, "rate": 0.5, "seed": null, "trainable": true}} 8593 layer15 {"class_name": "Dense", "config": {"activation": "tanh", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "name": "dense_2", "trainable": true, "units": 4096, "use_bias": true}} 8593 layer16 {"class_name": "Dropout", "config": {"name": "dropout_2", "noise_shape": null, "rate": 0.5, "seed": null, "trainable": true}} 8593 layer17 {"class_name": "Dense", "config": {"activation": "softmax", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "name": "dense_3", "trainable": true, "units": 10, "use_bias": true}} 8593 layer2 {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_1", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}} 8593 layer3 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_1", "scale": true, "trainable": true}} 8593 layer4 {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 256, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [5, 5], "name": "conv2d_2", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}} 8593 layer5 {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_2", "padding": "valid", "pool_size": [3, 3], "strides": [2, 2], "trainable": true}} 8593 layer6 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_2", "scale": true, "trainable": true}} 8593 layer7 {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 384, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_3", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}} 8593 layer8 {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 384, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_4", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}} 8593 layer9 {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 256, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_5", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}} 8593 verbose 2 8593 openml-python Sklearn_0.19.1. 40926 CIFAR_10_small https://www.openml.org/data/download/16797612/cifar-10-small.arff -1 19334522 description https://api.openml.org/data/download/19334522/description.xml -1 19334523 predictions https://api.openml.org/data/download/19334523/predictions.arff area_under_roc_curve 0.7448784198314946 [0.76387,0.822731,0.672507,0.705803,0.707964,0.75865,0.756192,0.681947,0.791679,0.789998] average_cost 0 f_measure 0.23200840151556962 [0.201467,0.380004,0.243211,0.152508,0.180842,0.239583,0.307073,0.064602,0.314526,0.236911] kappa 0.16797599057717527 kb_relative_information_score 5125.053825514181 mean_absolute_error 0.1547213810076315 mean_prior_absolute_error 0.17999608295848674 number_of_instances 20000 [2005,1974,2032,2016,1999,1937,2030,2001,2025,1981] precision 0.2849672056450452 [0.445392,0.313095,0.17537,0.234086,0.207792,0.29465,0.216809,0.281853,0.400918,0.281641] predictive_accuracy 0.2515 prior_entropy 3.3217862890565693 recall 0.2515 [0.130175,0.483283,0.396654,0.113095,0.16008,0.201859,0.526108,0.036482,0.258765,0.204442] relative_absolute_error 0.8595819334763832 root_mean_prior_squared_error 0.299996734149702 root_mean_squared_error 0.3109549092279469 root_relative_squared_error 1.0365276479069157 total_cost 0 area_under_roc_curve 0.766506951275026 [0.833831,0.864667,0.718012,0.686043,0.764564,0.754687,0.783706,0.643389,0.826917,0.791169] area_under_roc_curve 0.8169332247645754 [0.851983,0.87074,0.740384,0.756319,0.810697,0.802386,0.777843,0.792069,0.877275,0.892507] area_under_roc_curve 0.7752609754630302 [0.824192,0.869287,0.666077,0.710413,0.65185,0.797552,0.826158,0.723423,0.845122,0.842235] area_under_roc_curve 0.7807928549895577 [0.756435,0.827044,0.704014,0.728097,0.764081,0.807218,0.782851,0.724936,0.884781,0.830693] area_under_roc_curve 0.766019401983996 [0.786811,0.875596,0.702589,0.754985,0.571208,0.799954,0.743165,0.695228,0.883628,0.850054] area_under_roc_curve 0.7768852992301055 [0.813644,0.816859,0.719853,0.738536,0.770214,0.798898,0.785877,0.677261,0.846895,0.802156] area_under_roc_curve 0.7776394318702015 [0.834856,0.871885,0.670137,0.703791,0.695672,0.817033,0.81192,0.670856,0.877262,0.825774] area_under_roc_curve 0.8192453417132495 [0.846819,0.896318,0.793293,0.781652,0.725164,0.776898,0.830045,0.73345,0.90465,0.903323] area_under_roc_curve 0.7970789698306608 [0.8007,0.86795,0.757153,0.722882,0.745297,0.821771,0.768763,0.741347,0.85907,0.889419] area_under_roc_curve 0.8233546932824879 [0.825525,0.880611,0.75228,0.754425,0.803511,0.817085,0.835755,0.820553,0.907966,0.836943] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.3170969135280769 [0.430108,0.437956,0.220339,0.142415,0.333333,0.346939,0.325792,0.00995,0.447312,0.48294] f_measure 0.17544799914253198 [0.15942,0.38472,0.258352,0.028302,0.029126,0.321508,0.338624,0.056604,0.144144,0.036199] f_measure 0.19356711648111197 [0.241135,0.407285,0.221766,0.130081,0.054688,0.260163,0.31075,0,0.019512,0.295082] f_measure 0.31799504902272524 [0.210117,0.499162,0.344348,0.302059,0.114035,0.219355,0.403101,0.237082,0.5,0.345324] f_measure 0.21007871648530907 [0.227586,0.276119,0.266217,0.183673,0.280443,0.342679,0.018605,0.019512,0.378082,0.111628] f_measure 0.23347007696663627 [0.272374,0.431694,0.300429,0.028846,0.029268,0.2,0.375758,0.097778,0.44878,0.146552] kappa 0.10884581643668334 kappa 0.265431699178167 kappa 0.11110493436824662 kappa 0.164124628684845 kappa 0.09491866645416447 kappa 0.1287787762064372 kappa 0.16281334740133035 kappa 0.2725088081176679 kappa 0.15488768207096998 kappa 0.2163613080481473 kb_relative_information_score 395.114072568773 kb_relative_information_score 698.517161415785 kb_relative_information_score 403.1577729465747 kb_relative_information_score 500.9461688409538 kb_relative_information_score 401.3457374110257 kb_relative_information_score 424.823399013137 kb_relative_information_score 515.5254624015253 kb_relative_information_score 675.857539006086 kb_relative_information_score 501.5533810722876 kb_relative_information_score 608.2131308380104 mean_absolute_error 0.16027505615943116 mean_absolute_error 0.14281418579187985 mean_absolute_error 0.16175131350963184 mean_absolute_error 0.1549613596050427 mean_absolute_error 0.16401344714639038 mean_absolute_error 0.16123617156586972 mean_absolute_error 0.1545271381898149 mean_absolute_error 0.1440020530890423 mean_absolute_error 0.15728979091258805 mean_absolute_error 0.146343294106619 mean_prior_absolute_error 0.17999559220389702 mean_prior_absolute_error 0.17999559220389702 mean_prior_absolute_error 0.17999584707646074 mean_prior_absolute_error 0.1799963768115932 mean_prior_absolute_error 0.1799963768115932 mean_prior_absolute_error 0.1799963768115932 mean_prior_absolute_error 0.1799963768115932 mean_prior_absolute_error 0.17999615692153823 mean_prior_absolute_error 0.17999606696651574 mean_prior_absolute_error 0.17999606696651574 number_of_instances 2000 [200,197,204,202,200,193,203,200,203,198] number_of_instances 2000 [200,197,204,202,200,193,203,200,203,198] number_of_instances 2000 [201,197,203,202,200,193,203,201,202,198] number_of_instances 2000 [201,198,203,201,200,194,203,200,202,198] number_of_instances 2000 [201,198,203,201,200,194,203,200,202,198] number_of_instances 2000 [201,198,203,201,200,194,203,200,202,198] number_of_instances 2000 [201,198,203,201,200,194,203,200,202,198] number_of_instances 2000 [200,197,203,202,199,194,203,200,203,199] number_of_instances 2000 [200,197,203,202,200,194,203,200,203,198] number_of_instances 2000 [200,197,203,202,200,194,203,200,203,198] precision 0.41119335486046216 [0.465116,0.420561,0.26,0.190083,0.306723,0.341709,0.234783,1,0.396947,0.502732] precision 0.35156401528569886 [0.293333,0.263551,0.235772,0.272727,0.5,0.204802,0.263736,0.5,0.8,0.173913] precision 0.31786944163032926 [0.419753,0.302956,0.190141,0.355556,0.125,0.615385,0.190265,0,0.666667,0.321429] precision 0.39492120496923117 [0.473684,0.3725,0.266129,0.280851,0.448276,0.293103,0.294118,0.302326,0.609929,0.607595] precision 0.35769285624235986 [0.366667,0.521127,0.160569,0.189474,0.222222,0.433071,0.166667,0.4,0.425926,0.705882] precision 0.4317485626553074 [0.614035,0.467456,0.192044,0.5,0.6,0.393939,0.318493,0.44,0.298217,0.5] predictive_accuracy 0.198 predictive_accuracy 0.33899999999999997 predictive_accuracy 0.2005 predictive_accuracy 0.247 predictive_accuracy 0.1865 predictive_accuracy 0.21600000000000003 predictive_accuracy 0.247 predictive_accuracy 0.3455 predictive_accuracy 0.24 predictive_accuracy 0.2955 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 recall 0.198 [0.01,0.908629,0.004902,0,0.225,0,0.778325,0.02,0.024631,0.010101] recall 0.339 [0.4,0.456853,0.191176,0.113861,0.365,0.352332,0.53202,0.005,0.512315,0.464646] recall 0.2005 [0.079602,0.624365,0.004926,0.034653,0.245,0.088083,0.901478,0.024876,0,0] recall 0.247 [0.109453,0.712121,0.285714,0.014925,0.015,0.747423,0.472906,0.03,0.079208,0.020202] recall 0.1865 [0.034826,0.166667,0.871921,0.109453,0.07,0.072165,0.236453,0,0.287129,0] recall 0.216 [0.024876,0,0.389163,0.258706,0.185,0,0.384236,0.025,0,0.888889] recall 0.247 [0.169154,0.621212,0.26601,0.079602,0.035,0.164948,0.847291,0,0.009901,0.272727] recall 0.3455 [0.135,0.756345,0.487685,0.326733,0.065327,0.175258,0.640394,0.195,0.423645,0.241206] recall 0.24 [0.165,0.187817,0.778325,0.178218,0.38,0.283505,0.009852,0.01,0.339901,0.060606] recall 0.2955 [0.175,0.401015,0.689655,0.014851,0.015,0.134021,0.458128,0.055,0.906404,0.085859] relative_absolute_error 0.8904387835112837 relative_absolute_error 0.7934315726470764 relative_absolute_error 0.8986391416070907 relative_absolute_error 0.8609137714324367 relative_absolute_error 0.9112041589485296 relative_absolute_error 0.8957745395877593 relative_absolute_error 0.8585013816781567 relative_absolute_error 0.800028487007164 relative_absolute_error 0.8738512655493095 relative_absolute_error 0.8130360655816047 root_mean_prior_squared_error 0.29999591621531446 root_mean_prior_squared_error 0.29999591621531446 root_mean_prior_squared_error 0.2999963410084025 root_mean_prior_squared_error 0.2999972239097591 root_mean_prior_squared_error 0.2999972239097591 root_mean_prior_squared_error 0.2999972239097591 root_mean_prior_squared_error 0.2999972239097591 root_mean_prior_squared_error 0.299996857422719 root_mean_prior_squared_error 0.29999670749607354 root_mean_prior_squared_error 0.29999670749607354 root_mean_squared_error 0.33787177540486085 root_mean_squared_error 0.2855115625927106 root_mean_squared_error 0.322014320376371 root_mean_squared_error 0.31199891966579785 root_mean_squared_error 0.3198040791938202 root_mean_squared_error 0.32149196628721066 root_mean_squared_error 0.3107668573197908 root_mean_squared_error 0.28417452551353545 root_mean_squared_error 0.30732914289018204 root_mean_squared_error 0.304638609265243 root_relative_squared_error 1.126254582620258 root_relative_squared_error 0.9517181640159126 root_relative_squared_error 1.073394159721941 root_relative_squared_error 1.0400060227212267 root_relative_squared_error 1.0660234619038313 root_relative_squared_error 1.0716498042792466 root_relative_squared_error 1.035899110230671 root_relative_squared_error 0.9472583411535921 root_relative_squared_error 1.0244417195618871 root_relative_squared_error 1.0154731757155375 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 11704.523975000002 usercpu_time_millis 8310.725155 usercpu_time_millis 8971.873189999997 usercpu_time_millis 9796.005662000012 usercpu_time_millis 9951.542227999995 usercpu_time_millis 11444.279885000014 usercpu_time_millis 12230.552328000016 usercpu_time_millis 12202.535679000022 usercpu_time_millis 12971.28387899997 usercpu_time_millis 14191.814992999978 usercpu_time_millis_testing 581.001864000001 usercpu_time_millis_testing 477.78423199999054 usercpu_time_millis_testing 750.3451989999945 usercpu_time_millis_testing 883.1038190000129 usercpu_time_millis_testing 982.9880080000066 usercpu_time_millis_testing 1306.7821250000122 usercpu_time_millis_testing 1414.024874000006 usercpu_time_millis_testing 1729.6409700000197 usercpu_time_millis_testing 1742.668794999986 usercpu_time_millis_testing 2421.6934190000075 usercpu_time_millis_training 11123.522111 usercpu_time_millis_training 7832.940923000009 usercpu_time_millis_training 8221.527991000003 usercpu_time_millis_training 8912.901843 usercpu_time_millis_training 8968.554219999987 usercpu_time_millis_training 10137.497760000002 usercpu_time_millis_training 10816.52745400001 usercpu_time_millis_training 10472.894709000002 usercpu_time_millis_training 11228.615083999983 usercpu_time_millis_training 11770.121573999972