5952584
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)
3987325
class_weight
null
6941
criterion
"gini"
6941
max_depth
2
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
34615
6941
splitter
"best"
6941
axis
0
6947
categorical_features
[]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"most_frequent"
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
0.0861538989962893
6971
n_estimators
468
6971
random_state
3852
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
12828636
description
https://api.openml.org/data/download/12828636/description.xml
-1
12828635
predictions
https://api.openml.org/data/download/12828635/predictions.arff
area_under_roc_curve
0.9600552777777778 [0.999175,0.904633,0.990583,0.964883,0.919064,0.978714,0.939372,0.984283,0.987072,0.932772]
average_cost
0
f_measure
0.6201855124085566 [0.930481,0.535211,0.750716,0.751295,0.62212,0.610169,0.473684,0.161435,0.902913,0.46383]
kappa
0.5877777777777778
kb_relative_information_score
1024.5723420146603
mean_absolute_error
0.13008680542585307
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7090376991701313 [1,0.389522,0.879195,0.77957,0.576923,0.947368,0.454128,0.782609,0.877358,0.403704]
predictive_accuracy
0.629
prior_entropy
3.321928094887362
recall
0.629 [0.87,0.855,0.655,0.725,0.675,0.45,0.495,0.09,0.93,0.545]
relative_absolute_error
0.7227044745880504
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.2376728008966086
root_relative_squared_error
0.79224266965535
total_cost
0
area_under_roc_curve
0.9622500000000003 [0.999722,0.892778,0.987778,0.973056,0.914722,0.995833,0.926389,0.991667,0.988056,0.9525]
area_under_roc_curve
0.967361111111111 [0.996944,0.919722,0.9975,0.979167,0.935278,0.972222,0.944722,0.981389,0.99,0.956667]
area_under_roc_curve
0.9527499999999999 [0.996111,0.902222,0.986111,0.916111,0.926389,0.985278,0.886667,0.985833,0.995278,0.9475]
area_under_roc_curve
0.9647222222222221 [1,0.889444,0.996111,0.974722,0.958611,0.9775,0.961389,0.979444,0.989722,0.920278]
area_under_roc_curve
0.9654166666666667 [1,0.929444,0.978056,0.975,0.913889,0.983611,0.956111,0.9875,0.996667,0.933889]
area_under_roc_curve
0.9625 [1,0.932222,0.998889,0.955278,0.923611,0.968056,0.955278,0.986944,0.991667,0.913056]
area_under_roc_curve
0.9613611111111109 [1,0.897222,0.995556,0.977222,0.919444,0.976389,0.963889,0.988333,0.985,0.910556]
area_under_roc_curve
0.9525555555555556 [1,0.851944,0.9975,0.945556,0.904722,0.99,0.928889,0.985833,0.967778,0.953333]
area_under_roc_curve
0.9623611111111111 [1,0.874167,0.995,0.994444,0.925833,0.962778,0.956944,0.981389,0.998056,0.935]
area_under_roc_curve
0.9615277777777778 [1,0.973611,0.9775,0.959167,0.891111,0.9875,0.920278,0.991111,0.988889,0.926111]
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
0.6229181387608809 [0.888889,0.53125,0.666667,0.666667,0.666667,0.709677,0.388889,0.333333,0.857143,0.52]
f_measure
0.6098455739826609 [0.888889,0.553846,0.742857,0.790698,0.631579,0.5,0.511628,0.095238,0.883721,0.5]
f_measure
0.6002742431307303 [0.888889,0.561404,0.685714,0.631579,0.55814,0.6875,0.372093,0.333333,0.909091,0.375]
f_measure
0.6035730856290387 [0.888889,0.517241,0.857143,0.772727,0.666667,0.5,0.4,0,0.904762,0.528302]
f_measure
0.6265742479933728 [1,0.542857,0.666667,0.736842,0.693878,0.5,0.604651,0.095238,0.97561,0.45]
f_measure
0.6105418110154952 [0.974359,0.642857,0.789474,0.7,0.636364,0.518519,0.5,0.24,0.95,0.153846]
f_measure
0.6198874500633504 [0.888889,0.521739,0.75,0.809524,0.722222,0.62069,0.30303,0.181818,0.883721,0.517241]
f_measure
0.5837880538849278 [1,0.473684,0.709677,0.666667,0.526316,0.645161,0.581818,0.095238,0.823529,0.315789]
f_measure
0.6839876806240599 [0.918919,0.481481,0.789474,0.923077,0.638298,0.709677,0.615385,0.166667,0.930233,0.666667]
kappa
0.5833333333333334
kappa
0.5888888888888889
kappa
0.5555555555555556
kappa
0.5888888888888889
kappa
0.6111111111111112
kappa
0.5833333333333334
kappa
0.5888888888888889
kappa
0.5444444444444444
kappa
0.6611111111111111
kappa
0.5722222222222222
kb_relative_information_score
105.34777336975554
kb_relative_information_score
102.2381190604256
kb_relative_information_score
102.82177475832135
kb_relative_information_score
101.74886273587137
kb_relative_information_score
101.71447668987871
kb_relative_information_score
101.57922802197818
kb_relative_information_score
101.61079929460999
kb_relative_information_score
98.03985879565192
kb_relative_information_score
107.9033668585574
kb_relative_information_score
101.56808242961058
mean_absolute_error
0.1278083080328867
mean_absolute_error
0.1308937675194023
mean_absolute_error
0.1289513193041968
mean_absolute_error
0.1313020963068291
mean_absolute_error
0.13064007874470168
mean_absolute_error
0.13106719446356088
mean_absolute_error
0.13087013694523444
mean_absolute_error
0.13366605017077893
mean_absolute_error
0.12600225429926099
mean_absolute_error
0.12966684847167906
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
0.7205743160348423 [1,0.386364,0.684211,0.846154,0.6,1,0.4375,1,0.818182,0.433333]
precision
0.7280383022774327 [1,0.4,0.866667,0.73913,0.666667,0.875,0.478261,1,0.826087,0.428571]
precision
0.6840092887918974 [1,0.432432,0.8,0.666667,0.521739,0.916667,0.347826,1,0.833333,0.321429]
precision
0.6304044201412622 [1,0.394737,1,0.708333,0.571429,0.875,0.466667,0,0.863636,0.424242]
precision
0.7586583018014802 [1,0.38,1,0.777778,0.586207,0.875,0.565217,1,0.952381,0.45]
precision
0.6730811403508773 [1,0.5,0.833333,0.7,0.583333,1,0.40625,0.6,0.95,0.157895]
precision
0.7558013394745169 [1,0.367347,1,0.772727,0.8125,1,0.384615,1,0.826087,0.394737]
precision
0.7326551226551226 [1,0.321429,1,0.75,0.555556,0.909091,0.457143,1,1,0.333333]
precision
0.7291182987306287 [1,0.382353,0.833333,0.947368,0.555556,1,0.631579,0.5,0.869565,0.571429]
predictive_accuracy
0.625
predictive_accuracy
0.63
predictive_accuracy
0.6
predictive_accuracy
0.63
predictive_accuracy
0.65
predictive_accuracy
0.625
predictive_accuracy
0.63
predictive_accuracy
0.59
predictive_accuracy
0.695
predictive_accuracy
0.615
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
0.625 [0.8,0.85,0.65,0.55,0.75,0.55,0.35,0.2,0.9,0.65]
recall
0.63 [0.8,0.9,0.65,0.85,0.6,0.35,0.55,0.05,0.95,0.6]
recall
0.6 [0.8,0.8,0.6,0.6,0.6,0.55,0.4,0.2,1,0.45]
recall
0.63 [0.8,0.75,0.75,0.85,0.8,0.35,0.35,0,0.95,0.7]
recall
0.65 [1,0.95,0.5,0.7,0.85,0.35,0.65,0.05,1,0.45]
recall
0.625 [0.95,0.9,0.75,0.7,0.7,0.35,0.65,0.15,0.95,0.15]
recall
0.63 [0.8,0.9,0.6,0.85,0.65,0.45,0.25,0.1,0.95,0.75]
recall
0.59 [1,0.9,0.55,0.6,0.5,0.5,0.8,0.05,0.7,0.3]
recall
0.695 [0.85,0.65,0.75,0.9,0.75,0.55,0.6,0.1,1,0.8]
recall
0.615 [0.9,0.95,0.75,0.65,0.55,0.5,0.35,0,0.9,0.6]
relative_absolute_error
0.7100461557382602
relative_absolute_error
0.7271875973300135
relative_absolute_error
0.7163962183566496
relative_absolute_error
0.7294560905934958
relative_absolute_error
0.7257782152483435
relative_absolute_error
0.7281510803531168
relative_absolute_error
0.7270563163624143
relative_absolute_error
0.7425891676154392
relative_absolute_error
0.7000125238847841
relative_absolute_error
0.7203713803982178
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
0.23470200422477627
root_mean_squared_error
0.23853664522136775
root_mean_squared_error
0.23843617239659506
root_mean_squared_error
0.23836476541988924
root_mean_squared_error
0.23783805922668125
root_mean_squared_error
0.2378414001179355
root_mean_squared_error
0.23838538750879112
root_mean_squared_error
0.2431107856186926
root_mean_squared_error
0.23162462018232957
root_mean_squared_error
0.23772544141455265
root_relative_squared_error
0.782340014082588
root_relative_squared_error
0.7951221507378929
root_relative_squared_error
0.794787241321984
root_relative_squared_error
0.7945492180662979
root_relative_squared_error
0.7927935307556047
root_relative_squared_error
0.7928046670597854
root_relative_squared_error
0.7946179583626376
root_relative_squared_error
0.8103692853956425
root_relative_squared_error
0.7720820672744324
root_relative_squared_error
0.7924181380485092
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
17410.781806000003
usercpu_time_millis
17478.363909000003
usercpu_time_millis
17379.485779999995
usercpu_time_millis
17720.806504
usercpu_time_millis
17418.392526999996
usercpu_time_millis
17463.658630999988
usercpu_time_millis
17533.479594000015
usercpu_time_millis
17484.468867999993
usercpu_time_millis
17433.059479999996
usercpu_time_millis
17521.63209600002
usercpu_time_millis_testing
126.14240100000274
usercpu_time_millis_testing
125.88277500000089
usercpu_time_millis_testing
127.70196399999634
usercpu_time_millis_testing
128.97623899999644
usercpu_time_millis_testing
126.03207600000133
usercpu_time_millis_testing
127.63351799999612
usercpu_time_millis_testing
125.94480600000679
usercpu_time_millis_testing
124.53484799999615
usercpu_time_millis_testing
127.34908699999892
usercpu_time_millis_testing
129.0267960000051
usercpu_time_millis_training
17284.639405
usercpu_time_millis_training
17352.481134
usercpu_time_millis_training
17251.783816
usercpu_time_millis_training
17591.830265000004
usercpu_time_millis_training
17292.360450999993
usercpu_time_millis_training
17336.025112999992
usercpu_time_millis_training
17407.534788000008
usercpu_time_millis_training
17359.934019999997
usercpu_time_millis_training
17305.710392999998
usercpu_time_millis_training
17392.605300000014