6124583
1
Jan van Rijn
14967
Supervised Classification
7096
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier))(1)
4158566
bootstrap
true
6902
class_weight
null
6902
criterion
"gini"
6902
max_depth
null
6902
max_features
0.1
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
20
6902
min_samples_split
2
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
10
6902
n_jobs
1
6902
oob_score
false
6902
random_state
1
6902
verbose
0
6902
warm_start
false
6902
axis
0
6947
categorical_features
[0, 1]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"mean"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[0, 1]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
true
6948
threshold
0.0
6949
cv
null
7096
error_score
"raise"
7096
fit_params
{}
7096
iid
true
7096
n_iter
50
7096
n_jobs
1
7096
param_distributions
{"classifier__max_features": [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], "classifier__bootstrap": [true, false], "classifier__min_samples_split": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], "classifier__criterion": ["gini", "entropy"], "imputation__strategy": ["mean", "median", "most_frequent"]}
7096
pre_dispatch
"2*n_jobs"
7096
random_state
1
7096
refit
true
7096
return_train_score
true
7096
scoring
null
7096
verbose
0
7096
openml-python
Sklearn_0.18.1.
23380
cjs
https://www.openml.org/data/download/1910442/phpDAC5gS
-1
13175542
description
https://api.openml.org/data/download/13175542/description.xml
-1
13175543
predictions
https://api.openml.org/data/download/13175543/predictions.arff
-1
13175544
trace
https://api.openml.org/data/download/13175544/trace.arff
area_under_roc_curve
0.9897658330643502 [0.995275,0.987361,0.997866,0.985064,0.99006,0.969399]
average_cost
0
f_measure
0.8974496173927309 [0.955595,0.884393,0.982976,0.861933,0.86088,0.700704]
kappa
0.8735133323911258
kb_relative_information_score
2251.508161324434
mean_absolute_error
0.07002034920446877
mean_prior_absolute_error
0.27287997162595995
number_of_instances
2796 [576,341,680,511,414,274]
precision
0.89914617124439 [0.978182,0.871795,0.989568,0.868787,0.847775,0.676871]
predictive_accuracy
0.8962804005722461
prior_entropy
2.5206634795042744
recall
0.8962804005722461 [0.934028,0.897361,0.976471,0.855186,0.874396,0.726277]
relative_absolute_error
0.2565976124493539
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.16565355875785048
root_relative_squared_error
0.4484750464126568
total_cost
0
area_under_roc_curve
0.9931983105327047 [0.998214,0.98924,0.99667,0.988184,0.998673,0.9803]
area_under_roc_curve
0.994852384889026 [0.998058,0.99462,0.995283,0.992294,0.998367,0.986961]
area_under_roc_curve
0.9910493824169196 [0.998291,0.992348,0.999514,0.990025,0.97561,0.978387]
area_under_roc_curve
0.9917115873019983 [0.998757,0.96999,0.999792,0.99452,0.992397,0.977749]
area_under_roc_curve
0.9920768151515874 [0.998524,0.996294,0.997642,0.98524,0.991326,0.97321]
area_under_roc_curve
0.9849990876748643 [0.992467,0.979708,0.996254,0.973799,0.993163,0.956229]
area_under_roc_curve
0.9882357295369716 [0.995495,0.990396,1,0.979962,0.986337,0.959142]
area_under_roc_curve
0.990263229989072 [0.99917,0.989016,0.999373,0.977812,0.991059,0.972369]
area_under_roc_curve
0.9839797231034277 [0.982693,0.990276,0.994111,0.981209,0.988849,0.950911]
area_under_roc_curve
0.9900599555181524 [0.993362,0.990036,0.998745,0.990497,0.990456,0.959803]
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
0.9293542264288334 [0.973913,0.909091,0.992593,0.886598,0.942529,0.766667]
f_measure
0.9115690911003961 [0.915888,0.868421,0.992593,0.901961,0.904762,0.785714]
f_measure
0.8980397229010266 [0.982759,0.939394,0.962963,0.854369,0.805195,0.730159]
f_measure
0.9271369055685621 [0.966102,0.903226,0.992593,0.92,0.9,0.769231]
f_measure
0.8924467474723329 [0.973451,0.846154,0.977778,0.846154,0.864198,0.693878]
f_measure
0.9020657228619723 [0.946429,0.939394,0.977444,0.833333,0.906977,0.690909]
f_measure
0.8601634733489565 [0.93913,0.816901,0.985507,0.845361,0.75,0.631579]
f_measure
0.8863865838092247 [0.972973,0.865672,0.992593,0.795918,0.857143,0.678571]
f_measure
0.8917265746970526 [0.972973,0.873239,0.977444,0.88172,0.829787,0.642857]
f_measure
0.8732609092463596 [0.907407,0.898551,0.978102,0.857143,0.839506,0.588235]
kappa
0.9129380305338765
kappa
0.8913482134541955
kappa
0.873685520502769
kappa
0.9085223560160554
kappa
0.8691996262846466
kappa
0.8779861489378259
kappa
0.8293577981651377
kappa
0.8601657086472349
kappa
0.8648086782543454
kappa
0.8465949257717383
kb_relative_information_score
225.24019952202264
kb_relative_information_score
230.820422626315
kb_relative_information_score
225.95641034923173
kb_relative_information_score
235.96574901589221
kb_relative_information_score
224.0777050542531
kb_relative_information_score
217.3825761784122
kb_relative_information_score
225.41330422555126
kb_relative_information_score
224.14046452843704
kb_relative_information_score
218.27216652531496
kb_relative_information_score
224.239163298998
mean_absolute_error
0.0728455225016235
mean_absolute_error
0.06722960952002123
mean_absolute_error
0.06959263025627849
mean_absolute_error
0.05698286700432379
mean_absolute_error
0.07092940288091425
mean_absolute_error
0.08103833742374027
mean_absolute_error
0.06613242519050087
mean_absolute_error
0.06991004755993391
mean_absolute_error
0.07790999761401107
mean_absolute_error
0.0676380417909744
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272804289453111
mean_prior_absolute_error
0.27287651677373237
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,52,41,27]
number_of_instances
280 [58,35,68,51,41,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
precision
0.9328565980167811 [0.982456,0.9375,1,0.934783,0.891304,0.71875]
precision
0.9176672994779308 [1,0.785714,1,0.901961,0.883721,0.785714]
precision
0.9027394677254753 [0.982759,0.96875,0.970149,0.846154,0.861111,0.657143]
precision
0.9347950849481462 [0.95,1,1,0.938776,0.923077,0.675676]
precision
0.897227539251793 [1,0.75,0.985075,0.846154,0.875,0.772727]
precision
0.9072994490193739 [0.981481,1,1,0.789474,0.866667,0.678571]
precision
0.8623267867347864 [0.931034,0.783784,0.971429,0.891304,0.789474,0.6]
precision
0.890022091096571 [1,0.878788,1,0.829787,0.795918,0.655172]
precision
0.9015441629457202 [1,0.837838,1,0.97619,0.75,0.62069]
precision
0.8764498539794023 [0.960784,0.885714,0.971014,0.786885,0.871795,0.625]
predictive_accuracy
0.9285714285714286
predictive_accuracy
0.9107142857142857
predictive_accuracy
0.8964285714285714
predictive_accuracy
0.925
predictive_accuracy
0.8928571428571429
predictive_accuracy
0.9
predictive_accuracy
0.8602150537634408
predictive_accuracy
0.8853046594982079
predictive_accuracy
0.8888888888888888
predictive_accuracy
0.8745519713261649
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
recall
0.9285714285714286 [0.965517,0.882353,0.985294,0.843137,1,0.821429]
recall
0.9107142857142857 [0.844828,0.970588,0.985294,0.901961,0.926829,0.785714]
recall
0.8964285714285715 [0.982759,0.911765,0.955882,0.862745,0.756098,0.821429]
recall
0.925 [0.982759,0.823529,0.985294,0.901961,0.878049,0.892857]
recall
0.8928571428571429 [0.948276,0.970588,0.970588,0.846154,0.853659,0.62963]
recall
0.9 [0.913793,0.885714,0.955882,0.882353,0.95122,0.703704]
recall
0.8602150537634409 [0.947368,0.852941,1,0.803922,0.714286,0.666667]
recall
0.8853046594982079 [0.947368,0.852941,0.985294,0.764706,0.928571,0.703704]
recall
0.8888888888888888 [0.947368,0.911765,0.955882,0.803922,0.928571,0.666667]
recall
0.8745519713261649 [0.859649,0.911765,0.985294,0.941176,0.809524,0.555556]
relative_absolute_error
0.26692631898759617
relative_absolute_error
0.2463480469338767
relative_absolute_error
0.25500681421509774
relative_absolute_error
0.20880112342505214
relative_absolute_error
0.2600010543203186
relative_absolute_error
0.2969780557956066
relative_absolute_error
0.24235452720336256
relative_absolute_error
0.256198324412667
relative_absolute_error
0.2855156238678346
relative_absolute_error
0.24787213824372867
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36926827610333357
root_mean_prior_squared_error
0.36936606105183667
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_squared_error
0.16348290296036452
root_mean_squared_error
0.15506691077454873
root_mean_squared_error
0.16587306243797392
root_mean_squared_error
0.14807841453413076
root_mean_squared_error
0.1672067768102507
root_mean_squared_error
0.175830744146096
root_mean_squared_error
0.16771982751871442
root_mean_squared_error
0.16611749150924462
root_mean_squared_error
0.17728743211528505
root_mean_squared_error
0.16789011420800565
root_relative_squared_error
0.44255785170134776
root_relative_squared_error
0.41977526493389256
root_relative_squared_error
0.44902815424968756
root_relative_squared_error
0.40085699380720385
root_relative_squared_error
0.4528056906883078
root_relative_squared_error
0.4760338392904485
root_relative_squared_error
0.45407779973287093
root_relative_squared_error
0.44973970077118675
root_relative_squared_error
0.4799807410141582
root_relative_squared_error
0.4545388269491583
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
19220.133341999826
usercpu_time_millis
18698.58725800077
usercpu_time_millis
19365.746210999532
usercpu_time_millis
19467.147087999365
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
8.982342000308563
usercpu_time_millis_testing
8.883269000762084
usercpu_time_millis_testing
8.862785999554035
usercpu_time_millis_testing
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usercpu_time_millis_testing
8.815739000056055
usercpu_time_millis_testing
8.984946999589738
usercpu_time_millis_testing
9.950714000297012
usercpu_time_millis_testing
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usercpu_time_millis_testing
8.573044000513619
usercpu_time_millis_testing
8.96950799960905
usercpu_time_millis_training
19211.150999999518
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
18815.026024999497