5942428
1
Jan van Rijn
14
Supervised Classification
6970
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(1)
3977174
class_weight
null
6941
criterion
"gini"
6941
max_depth
7
6941
max_features
null
6941
max_leaf_nodes
null
6941
min_impurity_split
1e-07
6941
min_samples_leaf
1
6941
min_samples_split
2
6941
min_weight_fraction_leaf
0.0
6941
presort
false
6941
random_state
55870
6941
splitter
"best"
6941
axis
0
6947
categorical_features
[]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"median"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
false
6948
threshold
0.0
6949
algorithm
"SAMME.R"
6971
learning_rate
0.016382925327100624
6971
n_estimators
266
6971
random_state
64857
6971
openml-pimp
openml-python
Sklearn_0.18.1.
study_71
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
12808369
description
https://api.openml.org/data/download/12808369/description.xml
-1
12808370
predictions
https://api.openml.org/data/download/12808370/predictions.arff
area_under_roc_curve
0.9745388888888887 [0.999967,0.963629,0.991103,0.988626,0.971517,0.990081,0.930822,0.985067,0.995983,0.928594]
average_cost
0
f_measure
0.8129410644828556 [0.987406,0.789873,0.927835,0.879397,0.770026,0.892231,0.498728,0.898551,0.962217,0.523148]
kappa
0.79
kb_relative_information_score
1629.8595860346834
mean_absolute_error
0.039991635741941076
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8161015867831779 [0.994924,0.8,0.957447,0.883838,0.796791,0.894472,0.507772,0.869159,0.969543,0.487069]
predictive_accuracy
0.8109999999999999
prior_entropy
3.321928094887362
recall
0.811 [0.98,0.78,0.9,0.875,0.745,0.89,0.49,0.93,0.955,0.565]
relative_absolute_error
0.22217575412188803
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1781914646506686
root_relative_squared_error
0.5939715488355528
total_cost
0
area_under_roc_curve
0.9778611111111111 [1,0.976111,0.996944,0.996111,0.968333,1,0.919722,0.9925,1,0.928889]
area_under_roc_curve
0.9757500000000001 [1,0.962361,0.994722,0.984306,0.963333,0.980278,0.943611,0.986389,0.996944,0.945556]
area_under_roc_curve
0.9623888888888888 [1,0.962222,0.988333,0.961389,0.975278,0.988611,0.875833,0.96,1,0.912222]
area_under_roc_curve
0.9715555555555554 [1,0.944722,0.981389,0.994444,0.9775,0.994167,0.933333,0.986667,0.998889,0.904444]
area_under_roc_curve
0.98075 [1,0.963333,0.998889,0.991944,0.988889,0.993611,0.951111,0.973333,1,0.946389]
area_under_roc_curve
0.9819444444444443 [1,0.9775,1,0.992778,0.975556,0.990278,0.962778,0.990556,0.989167,0.940833]
area_under_roc_curve
0.97625 [0.999722,0.959722,0.991389,0.993056,0.985,0.973611,0.946667,0.988333,1,0.925]
area_under_roc_curve
0.9796388888888888 [1,0.970556,0.999444,0.984167,0.966944,0.998611,0.949444,0.991389,0.982222,0.953611]
area_under_roc_curve
0.9766666666666667 [1,0.948611,1,0.996944,0.980833,0.985833,0.930833,0.998056,1,0.925556]
area_under_roc_curve
0.9687222222222225 [1,0.977778,0.972222,0.996944,0.948611,0.999167,0.898056,0.989444,0.990278,0.914722]
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
0.8125341934062864 [1,0.790698,0.918919,0.9,0.8,0.974359,0.388889,0.810811,1,0.541667]
f_measure
0.7658244969477317 [0.974359,0.769231,0.864865,0.85,0.648649,0.780488,0.473684,0.863636,0.9,0.533333]
f_measure
0.7734633644774851 [0.974359,0.780488,0.947368,0.777778,0.714286,0.857143,0.368421,0.894737,0.97561,0.444444]
f_measure
0.809833816138164 [0.974359,0.777778,0.974359,0.904762,0.782609,0.871795,0.486486,0.9,0.95,0.47619]
f_measure
0.8429168369386898 [0.97561,0.820513,0.947368,0.904762,0.777778,0.857143,0.611111,0.883721,1,0.651163]
f_measure
0.8308380237648529 [1,0.829268,0.974359,0.85,0.780488,0.923077,0.55,0.926829,0.974359,0.5]
f_measure
0.8026880368740834 [0.974359,0.7,0.864865,0.85,0.820513,0.871795,0.55,0.883721,1,0.511628]
f_measure
0.8487627835241055 [1,0.761905,0.923077,0.894737,0.842105,0.947368,0.666667,0.952381,0.894737,0.604651]
f_measure
0.8454682363077146 [1,0.857143,0.97561,0.930233,0.8,0.9,0.461538,0.952381,1,0.577778]
f_measure
0.7926546196630053 [1,0.820513,0.883721,0.918919,0.727273,0.95,0.425532,0.909091,0.923077,0.368421]
kappa
0.788888888888889
kappa
0.7388888888888889
kappa
0.7444444444444445
kappa
0.788888888888889
kappa
0.8277777777777777
kappa
0.8111111111111111
kappa
0.7777777777777778
kappa
0.8277777777777777
kappa
0.8277777777777777
kappa
0.7666666666666667
kb_relative_information_score
164.2601512369075
kb_relative_information_score
157.25281194168326
kb_relative_information_score
154.38473391241507
kb_relative_information_score
162.41891819153366
kb_relative_information_score
166.2740448145178
kb_relative_information_score
167.79777549615486
kb_relative_information_score
161.16434832975264
kb_relative_information_score
169.2671669947562
kb_relative_information_score
169.54192771641468
kb_relative_information_score
157.49770740054825
mean_absolute_error
0.04034677746413828
mean_absolute_error
0.04584248386461712
mean_absolute_error
0.047200872426927096
mean_absolute_error
0.04083666026598481
mean_absolute_error
0.038388201309932514
mean_absolute_error
0.03445558321023292
mean_absolute_error
0.04116289888685824
mean_absolute_error
0.03452757107215315
mean_absolute_error
0.033148235327766215
mean_absolute_error
0.04400707359080121
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
0.8223269090244792 [1,0.73913,1,0.9,0.8,1,0.4375,0.882353,1,0.464286]
precision
0.7720103936311367 [1,0.789474,0.941176,0.85,0.705882,0.761905,0.5,0.791667,0.9,0.48]
precision
0.7822619047619047 [1,0.761905,1,0.875,0.681818,0.818182,0.388889,0.944444,0.952381,0.4]
precision
0.8159638117300656 [1,0.875,1,0.863636,0.692308,0.894737,0.529412,0.9,0.95,0.454545]
precision
0.847358700605268 [0.952381,0.842105,1,0.863636,0.875,0.818182,0.6875,0.826087,1,0.608696]
precision
0.8323558897243107 [1,0.809524,1,0.85,0.761905,0.947368,0.55,0.904762,1,0.5]
precision
0.8082366401938349 [1,0.7,0.941176,0.85,0.842105,0.894737,0.55,0.826087,1,0.478261]
precision
0.8563090862862031 [1,0.727273,0.947368,0.944444,0.888889,1,0.636364,0.909091,0.944444,0.565217]
precision
0.8558054622722815 [1,1,0.952381,0.869565,0.933333,0.9,0.473684,0.909091,1,0.52]
precision
0.808123015640178 [1,0.842105,0.826087,1,0.923077,0.95,0.37037,0.833333,0.947368,0.388889]
predictive_accuracy
0.81
predictive_accuracy
0.765
predictive_accuracy
0.77
predictive_accuracy
0.81
predictive_accuracy
0.845
predictive_accuracy
0.83
predictive_accuracy
0.8
predictive_accuracy
0.845
predictive_accuracy
0.845
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
0.81 [1,0.85,0.85,0.9,0.8,0.95,0.35,0.75,1,0.65]
recall
0.765 [0.95,0.75,0.8,0.85,0.6,0.8,0.45,0.95,0.9,0.6]
recall
0.77 [0.95,0.8,0.9,0.7,0.75,0.9,0.35,0.85,1,0.5]
recall
0.81 [0.95,0.7,0.95,0.95,0.9,0.85,0.45,0.9,0.95,0.5]
recall
0.845 [1,0.8,0.9,0.95,0.7,0.9,0.55,0.95,1,0.7]
recall
0.83 [1,0.85,0.95,0.85,0.8,0.9,0.55,0.95,0.95,0.5]
recall
0.8 [0.95,0.7,0.8,0.85,0.8,0.85,0.55,0.95,1,0.55]
recall
0.845 [1,0.8,0.9,0.85,0.8,0.9,0.7,1,0.85,0.65]
recall
0.845 [1,0.75,1,1,0.7,0.9,0.45,1,1,0.65]
recall
0.79 [1,0.8,0.95,0.85,0.6,0.95,0.5,1,0.9,0.35]
relative_absolute_error
0.22414876368965736
relative_absolute_error
0.25468046591453986
relative_absolute_error
0.2622270690384842
relative_absolute_error
0.22687033481102695
relative_absolute_error
0.21326778505518088
relative_absolute_error
0.19141990672351641
relative_absolute_error
0.22868277159365719
relative_absolute_error
0.19181983928973992
relative_absolute_error
0.18415686293203476
relative_absolute_error
0.2444837421711181
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
0.1741429423884889
root_mean_squared_error
0.19332319644535798
root_mean_squared_error
0.200826385259392
root_mean_squared_error
0.17940824388849966
root_mean_squared_error
0.16800811504139174
root_mean_squared_error
0.1680610589716815
root_mean_squared_error
0.18131988237725735
root_mean_squared_error
0.15716973231102746
root_mean_squared_error
0.16021027265149548
root_mean_squared_error
0.1938710934071685
root_relative_squared_error
0.5804764746282967
root_relative_squared_error
0.6444106548178603
root_relative_squared_error
0.6694212841979738
root_relative_squared_error
0.5980274796283325
root_relative_squared_error
0.5600270501379727
root_relative_squared_error
0.5602035299056053
root_relative_squared_error
0.6043996079241916
root_relative_squared_error
0.5238991077034252
root_relative_squared_error
0.534034242171652
root_relative_squared_error
0.6462369780238952
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
26849.537615999998
usercpu_time_millis
26388.998965999996
usercpu_time_millis
26166.686650999996
usercpu_time_millis
26607.98203200001
usercpu_time_millis
26753.68804899998
usercpu_time_millis
26258.822803000014
usercpu_time_millis
27247.432895999995
usercpu_time_millis
26853.599419000006
usercpu_time_millis
26847.12428500001
usercpu_time_millis
26873.712415000056
usercpu_time_millis_testing
99.23633100000018
usercpu_time_millis_testing
91.0287179999969
usercpu_time_millis_testing
90.61130199999923
usercpu_time_millis_testing
96.51550899999961
usercpu_time_millis_testing
90.3496109999935
usercpu_time_millis_testing
95.40512500001341
usercpu_time_millis_testing
98.42166100000327
usercpu_time_millis_testing
89.49044100000947
usercpu_time_millis_testing
116.16629700000658
usercpu_time_millis_testing
99.90606900004195
usercpu_time_millis_training
26750.301284999998
usercpu_time_millis_training
26297.970247999998
usercpu_time_millis_training
26076.075349
usercpu_time_millis_training
26511.46652300001
usercpu_time_millis_training
26663.338437999984
usercpu_time_millis_training
26163.417678
usercpu_time_millis_training
27149.01123499999
usercpu_time_millis_training
26764.108977999997
usercpu_time_millis_training
26730.957988000002
usercpu_time_millis_training
26773.806346000016