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
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