8916697
1935
Hilde Weerts
14
Supervised Classification
8315
sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier)(1)
6853705
categorical_features
[]
7644
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7644
handle_unknown
"ignore"
7644
n_values
"auto"
7644
sparse
true
7644
threshold
0.0
7645
bootstrap
false
7684
class_weight
null
7684
criterion
"gini"
7684
max_depth
null
7684
max_features
0.7538303073227836
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
19
7684
min_samples_split
18
7684
min_weight_fraction_leaf
0.0
7684
n_estimators
500
7684
n_jobs
1
7684
oob_score
false
7684
random_state
1
7684
verbose
0
7684
warm_start
false
7684
memory
null
8315
axis
0
8316
categorical_features
[]
8316
copy
true
8316
fill_empty
0
8316
missing_values
"NaN"
8316
strategy
"mean"
8316
strategy_nominal
"most_frequent"
8316
verbose
0
8316
openml-python
Sklearn_0.19.1.
study_98
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
18749026
description
https://api.openml.org/data/download/18749026/description.xml
-1
18749027
predictions
https://api.openml.org/data/download/18749027/predictions.arff
area_under_roc_curve
0.9728836111111111 [0.999606,0.957508,0.989917,0.976006,0.956747,0.988867,0.935022,0.989014,0.995,0.94115]
average_cost
0
f_measure
0.7842286809915344 [0.97549,0.711217,0.910448,0.85347,0.713911,0.849873,0.514423,0.85782,0.9375,0.518135]
kappa
0.76
kb_relative_information_score
1507.2149893495612
mean_absolute_error
0.0663789700614687
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7864590691816638 [0.956731,0.680365,0.905941,0.878307,0.751381,0.865285,0.49537,0.815315,0.978261,0.537634]
predictive_accuracy
0.784
prior_entropy
3.321928094887362
recall
0.784 [0.995,0.745,0.915,0.83,0.68,0.835,0.535,0.905,0.9,0.5]
relative_absolute_error
0.368772055897037
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1736856928475828
root_relative_squared_error
0.5789523094919338
total_cost
0
area_under_roc_curve
0.9757222222222224 [0.998889,0.958889,0.99,0.989167,0.956667,0.999444,0.925833,0.988333,0.993889,0.956111]
area_under_roc_curve
0.9701666666666668 [0.998611,0.971111,0.9825,0.978889,0.928056,0.982222,0.946667,0.984722,0.99,0.938889]
area_under_roc_curve
0.9662777777777778 [1,0.961389,0.999167,0.9525,0.951389,0.987778,0.894167,0.987778,1,0.928611]
area_under_roc_curve
0.9786388888888888 [1,0.945,0.988889,0.991389,0.974444,0.994444,0.967222,0.990833,0.999167,0.935]
area_under_roc_curve
0.9798611111111112 [1,0.955556,0.998611,0.99,0.978611,0.993056,0.951111,0.988611,0.998889,0.944167]
area_under_roc_curve
0.9772777777777779 [0.999167,0.955,1,0.968333,0.981389,0.986944,0.941389,0.9925,0.995556,0.9525]
area_under_roc_curve
0.9746388888888887 [0.999167,0.968889,0.975556,0.984444,0.979722,0.980556,0.956111,0.985,0.999167,0.917778]
area_under_roc_curve
0.9710833333333333 [1,0.963611,0.998611,0.958889,0.915278,0.993889,0.9375,0.993611,0.9875,0.961944]
area_under_roc_curve
0.9751944444444446 [1,0.9425,1,0.996111,0.974722,0.977222,0.925556,0.994167,1,0.941667]
area_under_roc_curve
0.9637222222222221 [1,0.963056,0.973889,0.958333,0.927778,0.993889,0.903056,0.993889,0.986944,0.936389]
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
0.7919245706826685 [0.97561,0.755556,0.837209,0.857143,0.714286,0.974359,0.461538,0.810811,0.947368,0.585366]
f_measure
0.7409556546912133 [0.926829,0.731707,0.8,0.820513,0.648649,0.717949,0.533333,0.809524,0.947368,0.473684]
f_measure
0.7569763997235113 [1,0.666667,0.947368,0.736842,0.666667,0.780488,0.439024,0.820513,0.97561,0.536585]
f_measure
0.7814720256391248 [1,0.666667,0.904762,0.926829,0.723404,0.833333,0.585366,0.8,0.974359,0.4]
f_measure
0.7639456615318226 [0.97561,0.6,0.923077,0.878049,0.6875,0.818182,0.52381,0.826087,0.95,0.457143]
f_measure
0.8027127399065184 [0.97561,0.682927,0.97561,0.789474,0.7,0.9,0.585366,0.930233,0.947368,0.540541]
f_measure
0.7875462152953377 [0.952381,0.772727,0.864865,0.878049,0.764706,0.790698,0.6,0.818182,0.947368,0.486486]
f_measure
0.8009983295207346 [1,0.666667,0.95,0.871795,0.722222,0.888889,0.488889,0.930233,0.857143,0.634146]
f_measure
0.8159262252479554 [1,0.789474,0.97561,0.930233,0.789474,0.864865,0.388889,0.909091,1,0.511628]
f_measure
0.7913014188250653 [0.952381,0.772727,0.926829,0.823529,0.722222,0.947368,0.521739,0.909091,0.810811,0.526316]
kappa
0.7666666666666667
kappa
0.7111111111111111
kappa
0.7277777777777777
kappa
0.7611111111111112
kappa
0.7444444444444445
kappa
0.7833333333333334
kappa
0.7666666666666667
kappa
0.7722222222222223
kappa
0.7999999999999999
kappa
0.7666666666666667
kb_relative_information_score
149.89565650805616
kb_relative_information_score
147.1300499771372
kb_relative_information_score
145.07965929613826
kb_relative_information_score
152.10716907115423
kb_relative_information_score
153.3033619510719
kb_relative_information_score
153.1395681058747
kb_relative_information_score
150.83392097232058
kb_relative_information_score
153.1243511336619
kb_relative_information_score
155.4053274951461
kb_relative_information_score
147.1959248390012
mean_absolute_error
0.06789180654802517
mean_absolute_error
0.06808617764306049
mean_absolute_error
0.06931896032970962
mean_absolute_error
0.06458728642970582
mean_absolute_error
0.0652027171748423
mean_absolute_error
0.06462706431535897
mean_absolute_error
0.06704209206971053
mean_absolute_error
0.0637344278297599
mean_absolute_error
0.06353584887712621
mean_absolute_error
0.06976331939738764
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.8024273552982666 [0.952381,0.68,0.782609,1,0.681818,1,0.473684,0.882353,1,0.571429]
precision
0.745660461313712 [0.904762,0.714286,0.8,0.842105,0.705882,0.736842,0.48,0.772727,1,0.5]
precision
0.7607123870281766 [1,0.636364,1,0.777778,0.684211,0.761905,0.428571,0.842105,0.952381,0.52381]
precision
0.7857833662438927 [1,0.684211,0.863636,0.904762,0.62963,0.9375,0.571429,0.8,1,0.466667]
precision
0.7737661461345671 [0.952381,0.6,0.947368,0.857143,0.916667,0.75,0.5,0.730769,0.95,0.533333]
precision
0.8033990987699429 [0.952381,0.666667,0.952381,0.833333,0.7,0.9,0.571429,0.869565,1,0.588235]
precision
0.7962857198215254 [0.909091,0.708333,0.941176,0.857143,0.928571,0.73913,0.6,0.75,1,0.529412]
precision
0.8185849678544186 [1,0.6,0.95,0.894737,0.8125,1,0.44,0.869565,1,0.619048]
precision
0.817888350992571 [1,0.833333,0.952381,0.869565,0.833333,0.941176,0.4375,0.833333,1,0.478261]
precision
0.8067466438789969 [0.909091,0.708333,0.904762,1,0.8125,1,0.461538,0.833333,0.882353,0.555556]
predictive_accuracy
0.79
predictive_accuracy
0.74
predictive_accuracy
0.755
predictive_accuracy
0.785
predictive_accuracy
0.77
predictive_accuracy
0.805
predictive_accuracy
0.79
predictive_accuracy
0.795
predictive_accuracy
0.82
predictive_accuracy
0.79
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
recall
0.79 [1,0.85,0.9,0.75,0.75,0.95,0.45,0.75,0.9,0.6]
recall
0.74 [0.95,0.75,0.8,0.8,0.6,0.7,0.6,0.85,0.9,0.45]
recall
0.755 [1,0.7,0.9,0.7,0.65,0.8,0.45,0.8,1,0.55]
recall
0.785 [1,0.65,0.95,0.95,0.85,0.75,0.6,0.8,0.95,0.35]
recall
0.77 [1,0.6,0.9,0.9,0.55,0.9,0.55,0.95,0.95,0.4]
recall
0.805 [1,0.7,1,0.75,0.7,0.9,0.6,1,0.9,0.5]
recall
0.79 [1,0.85,0.8,0.9,0.65,0.85,0.6,0.9,0.9,0.45]
recall
0.795 [1,0.75,0.95,0.85,0.65,0.8,0.55,1,0.75,0.65]
recall
0.82 [1,0.75,1,1,0.75,0.8,0.35,1,1,0.55]
recall
0.79 [1,0.85,0.95,0.7,0.65,0.9,0.6,1,0.75,0.5]
relative_absolute_error
0.37717670304458467
relative_absolute_error
0.3782565424614476
relative_absolute_error
0.3851053351650539
relative_absolute_error
0.3588182579428106
relative_absolute_error
0.3622373176380132
relative_absolute_error
0.3590392461964392
relative_absolute_error
0.3724560670539478
relative_absolute_error
0.3540801546097776
relative_absolute_error
0.3529769382062571
relative_absolute_error
0.38757399665215403
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.17559235248678406
root_mean_squared_error
0.18380736055069152
root_mean_squared_error
0.18443777350102464
root_mean_squared_error
0.16932179567997435
root_mean_squared_error
0.16883029880644568
root_mean_squared_error
0.1673430213435303
root_mean_squared_error
0.1732836152500182
root_mean_squared_error
0.16814373177793732
root_mean_squared_error
0.1648406472506136
root_mean_squared_error
0.17995247912964066
root_relative_squared_error
0.5853078416226138
root_relative_squared_error
0.6126912018356387
root_relative_squared_error
0.6147925783367492
root_relative_squared_error
0.5644059855999148
root_relative_squared_error
0.5627676626881526
root_relative_squared_error
0.5578100711451013
root_relative_squared_error
0.5776120508333943
root_relative_squared_error
0.5604791059264581
root_relative_squared_error
0.5494688241687122
root_relative_squared_error
0.5998415970988025
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
48515.316811004595
usercpu_time_millis
47301.878996000596
usercpu_time_millis
46492.398328999116
usercpu_time_millis
48751.87939600073
usercpu_time_millis
48553.432135006005
usercpu_time_millis
49442.24476200179
usercpu_time_millis
49243.65109200153
usercpu_time_millis
48901.34439200119
usercpu_time_millis
48754.68765200276
usercpu_time_millis
50484.09530499703
usercpu_time_millis_testing
90.64507800212596
usercpu_time_millis_testing
89.1503120001289
usercpu_time_millis_testing
89.0796589992533
usercpu_time_millis_testing
87.7161980024539
usercpu_time_millis_testing
90.62136100328644
usercpu_time_millis_testing
126.04086600185838
usercpu_time_millis_testing
89.67354999913368
usercpu_time_millis_testing
89.6923450018221
usercpu_time_millis_testing
96.64963700197404
usercpu_time_millis_testing
89.69587100000354
usercpu_time_millis_training
48424.67173300247
usercpu_time_millis_training
47212.72868400047
usercpu_time_millis_training
46403.31866999986
usercpu_time_millis_training
48664.16319799828
usercpu_time_millis_training
48462.81077400272
usercpu_time_millis_training
49316.20389599993
usercpu_time_millis_training
49153.977542002394
usercpu_time_millis_training
48811.65204699937
usercpu_time_millis_training
48658.038015000784
usercpu_time_millis_training
50394.39943399702