8913336
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)
6850497
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
0.09606291291699409
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
15
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
18742334
description
https://api.openml.org/data/download/18742334/description.xml
-1
18742335
predictions
https://api.openml.org/data/download/18742335/predictions.arff
area_under_roc_curve
0.9811836111111111 [0.999994,0.972683,0.997231,0.993739,0.976622,0.992964,0.943939,0.992139,0.998011,0.944514]
average_cost
0
f_measure
0.824349051866086 [0.995,0.783505,0.935644,0.915,0.813648,0.903846,0.526316,0.867133,0.967419,0.53598]
kappa
0.8072222222222223
kb_relative_information_score
1399.276205226909
mean_absolute_error
0.08746554580859314
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8241356768519774 [0.995,0.808511,0.926471,0.915,0.856354,0.87037,0.555556,0.812227,0.969849,0.53202]
predictive_accuracy
0.8265
prior_entropy
3.321928094887362
recall
0.8265 [0.995,0.76,0.945,0.915,0.775,0.94,0.5,0.93,0.965,0.54]
relative_absolute_error
0.4859196989366136
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.17907428303997663
root_relative_squared_error
0.5969142767999129
total_cost
0
area_under_roc_curve
0.9794444444444443 [1,0.976389,0.996111,0.995,0.966111,1,0.910278,0.9925,0.999722,0.958333]
area_under_roc_curve
0.9795555555555556 [1,0.968611,0.996944,0.986111,0.963889,0.992778,0.951944,0.988333,0.993889,0.953056]
area_under_roc_curve
0.9801944444444445 [1,0.975278,1,0.99,0.984167,0.994167,0.923056,0.990556,1,0.944722]
area_under_roc_curve
0.9859166666666668 [1,0.982222,0.995556,0.9975,0.9925,0.991667,0.968611,0.993333,0.996667,0.941111]
area_under_roc_curve
0.981388888888889 [1,0.963056,0.9975,0.991944,0.987222,0.993333,0.948611,0.992778,1,0.939444]
area_under_roc_curve
0.9836944444444444 [1,0.968889,1,0.993889,0.990278,0.993889,0.948333,0.994444,0.999722,0.9475]
area_under_roc_curve
0.9805277777777778 [1,0.966667,0.997222,0.997222,0.975,0.975,0.971667,0.989444,1,0.933056]
area_under_roc_curve
0.9844722222222222 [1,0.972222,0.998333,0.997222,0.971944,0.997222,0.955278,0.994167,0.998889,0.959444]
area_under_roc_curve
0.9820555555555555 [1,0.974444,1,0.998056,0.984722,0.989444,0.945556,0.996667,1,0.931667]
area_under_roc_curve
0.9782222222222222 [1,0.982222,0.990556,0.998889,0.954167,0.999722,0.926389,0.992778,0.991389,0.946111]
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
0.7953092037874256 [0.974359,0.85,0.883721,0.947368,0.857143,0.97561,0.228571,0.842105,0.97561,0.418605]
f_measure
0.7974277214577838 [1,0.810811,0.926829,0.9,0.666667,0.837209,0.514286,0.790698,0.95,0.577778]
f_measure
0.8121242304679626 [1,0.7,0.974359,0.761905,0.829268,0.9,0.457143,0.871795,0.97561,0.651163]
f_measure
0.8296917017563642 [1,0.769231,0.974359,0.926829,0.772727,0.878049,0.571429,0.871795,0.974359,0.55814]
f_measure
0.7892998291947615 [1,0.628571,0.947368,0.878049,0.777778,0.869565,0.526316,0.791667,1,0.473684]
f_measure
0.8732405026307465 [1,0.871795,0.952381,0.918919,0.878049,0.926829,0.666667,0.952381,0.95,0.615385]
f_measure
0.8318940101513111 [1,0.75,0.923077,0.95,0.823529,0.883721,0.619048,0.869565,1,0.5]
f_measure
0.8534935322544661 [1,0.780488,0.95,0.952381,0.833333,0.9,0.651163,0.909091,0.947368,0.611111]
f_measure
0.8539981912254055 [1,0.842105,1,0.97561,0.857143,0.926829,0.512821,0.888889,1,0.536585]
f_measure
0.8024717394005688 [0.97561,0.820513,0.837209,0.947368,0.833333,0.95,0.461538,0.888889,0.9,0.410256]
kappa
0.7777777777777778
kappa
0.7777777777777778
kappa
0.7944444444444444
kappa
0.8111111111111111
kappa
0.7722222222222223
kappa
0.8611111111111112
kappa
0.8166666666666667
kappa
0.8388888888888889
kappa
0.8388888888888889
kappa
0.7833333333333334
kb_relative_information_score
138.2409606528974
kb_relative_information_score
140.64438042692058
kb_relative_information_score
137.91055482047162
kb_relative_information_score
140.47688188030608
kb_relative_information_score
138.05072363252037
kb_relative_information_score
142.29477634634117
kb_relative_information_score
140.6261195167296
kb_relative_information_score
141.80765218442733
kb_relative_information_score
142.83393831409242
kb_relative_information_score
136.39021745220222
mean_absolute_error
0.08987643104026567
mean_absolute_error
0.08621004805453424
mean_absolute_error
0.08969335234689986
mean_absolute_error
0.08708669653268672
mean_absolute_error
0.08849451035242964
mean_absolute_error
0.08524514006590046
mean_absolute_error
0.08673799235952676
mean_absolute_error
0.08683118084135677
mean_absolute_error
0.08513961041513095
mean_absolute_error
0.0893404960771986
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
0.7945890582847105 [1,0.85,0.826087,1,0.818182,0.952381,0.266667,0.888889,0.952381,0.391304]
precision
0.8028853976373158 [1,0.882353,0.904762,0.9,0.75,0.782609,0.6,0.73913,0.95,0.52]
precision
0.8125943316789999 [1,0.7,1,0.727273,0.809524,0.9,0.533333,0.894737,0.952381,0.608696]
precision
0.8342854418655334 [1,0.789474,1,0.904762,0.708333,0.857143,0.666667,0.894737,1,0.521739]
precision
0.7968833943833944 [1,0.733333,1,0.857143,0.875,0.769231,0.555556,0.678571,1,0.5]
precision
0.8740612895876053 [1,0.894737,0.909091,1,0.857143,0.904762,0.684211,0.909091,0.95,0.631579]
precision
0.8396095237714231 [1,0.75,0.947368,0.95,1,0.826087,0.590909,0.769231,1,0.5625]
precision
0.8588024656502918 [1,0.761905,0.95,0.909091,0.9375,0.9,0.608696,0.833333,1,0.6875]
precision
0.8596157059314953 [1,0.888889,1,0.952381,1,0.904762,0.526316,0.8,1,0.52381]
precision
0.8059331753296286 [0.952381,0.842105,0.782609,1,0.9375,0.95,0.473684,0.8,0.9,0.421053]
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.815
predictive_accuracy
0.83
predictive_accuracy
0.795
predictive_accuracy
0.875
predictive_accuracy
0.835
predictive_accuracy
0.855
predictive_accuracy
0.855
predictive_accuracy
0.805
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
0.8 [0.95,0.85,0.95,0.9,0.9,1,0.2,0.8,1,0.45]
recall
0.8 [1,0.75,0.95,0.9,0.6,0.9,0.45,0.85,0.95,0.65]
recall
0.815 [1,0.7,0.95,0.8,0.85,0.9,0.4,0.85,1,0.7]
recall
0.83 [1,0.75,0.95,0.95,0.85,0.9,0.5,0.85,0.95,0.6]
recall
0.795 [1,0.55,0.9,0.9,0.7,1,0.5,0.95,1,0.45]
recall
0.875 [1,0.85,1,0.85,0.9,0.95,0.65,1,0.95,0.6]
recall
0.835 [1,0.75,0.9,0.95,0.7,0.95,0.65,1,1,0.45]
recall
0.855 [1,0.8,0.95,1,0.75,0.9,0.7,1,0.9,0.55]
recall
0.855 [1,0.8,1,1,0.75,0.95,0.5,1,1,0.55]
recall
0.805 [1,0.8,0.9,0.9,0.75,0.95,0.45,1,0.9,0.4]
relative_absolute_error
0.49931350577925426
relative_absolute_error
0.4789447114140796
relative_absolute_error
0.49829640192722197
relative_absolute_error
0.48381498073714896
relative_absolute_error
0.4916361686246097
relative_absolute_error
0.4735841114772253
relative_absolute_error
0.4818777353307047
relative_absolute_error
0.48239544911864923
relative_absolute_error
0.47299783563961695
relative_absolute_error
0.49633608931777057
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
0.1831678369174898
root_mean_squared_error
0.1803461666916881
root_mean_squared_error
0.18146958878454472
root_mean_squared_error
0.1770049901210946
root_mean_squared_error
0.18242911936863115
root_mean_squared_error
0.17345480232477953
root_mean_squared_error
0.17831721839573939
root_mean_squared_error
0.17669303638461445
root_mean_squared_error
0.17335494039696606
root_mean_squared_error
0.18412622592561648
root_relative_squared_error
0.610559456391633
root_relative_squared_error
0.601153888972294
root_relative_squared_error
0.6048986292818161
root_relative_squared_error
0.5900166337369823
root_relative_squared_error
0.6080970645621042
root_relative_squared_error
0.5781826744159322
root_relative_squared_error
0.5943907279857983
root_relative_squared_error
0.5889767879487152
root_relative_squared_error
0.5778498013232205
root_relative_squared_error
0.6137540864187219
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
9403.282330000366
usercpu_time_millis
9303.04123300084
usercpu_time_millis
9305.80552399988
usercpu_time_millis
9209.792324001683
usercpu_time_millis
9191.946405000635
usercpu_time_millis
9193.161548999342
usercpu_time_millis
9173.785775999932
usercpu_time_millis
9264.403223001864
usercpu_time_millis
9296.804355000859
usercpu_time_millis
9202.585942999576
usercpu_time_millis_testing
92.23438300068665
usercpu_time_millis_testing
96.883758000331
usercpu_time_millis_testing
96.81986299983691
usercpu_time_millis_testing
91.30555800038564
usercpu_time_millis_testing
92.08565200060548
usercpu_time_millis_testing
88.93365500080108
usercpu_time_millis_testing
92.10918300050253
usercpu_time_millis_testing
96.64696900108538
usercpu_time_millis_testing
91.73053599988634
usercpu_time_millis_testing
91.80371900038153
usercpu_time_millis_training
9311.047946999679
usercpu_time_millis_training
9206.15747500051
usercpu_time_millis_training
9208.985661000042
usercpu_time_millis_training
9118.486766001297
usercpu_time_millis_training
9099.86075300003
usercpu_time_millis_training
9104.22789399854
usercpu_time_millis_training
9081.676592999429
usercpu_time_millis_training
9167.756254000778
usercpu_time_millis_training
9205.073819000972
usercpu_time_millis_training
9110.782223999195