10070727
1
Jan van Rijn
14
Supervised Classification
8815
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(1)
7995616
axis
0
8778
copy
true
8778
missing_values
"NaN"
8778
strategy
"most_frequent"
8778
verbose
0
8778
copy
true
8779
with_mean
true
8779
with_std
true
8779
memory
null
8780
copy
true
8781
fill_value
-1
8781
missing_values
NaN
8781
strategy
"constant"
8781
verbose
0
8781
categorical_features
null
8782
categories
null
8782
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
8782
handle_unknown
"ignore"
8782
n_values
null
8782
sparse
true
8782
class_weight
null
8783
criterion
"gini"
8783
max_depth
null
8783
max_features
1.0
8783
max_leaf_nodes
null
8783
min_impurity_decrease
0.0
8783
min_impurity_split
null
8783
min_samples_leaf
17
8783
min_samples_split
19
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
13036
8783
splitter
"best"
8783
n_jobs
null
8812
remainder
"passthrough"
8812
sparse_threshold
0.3
8812
transformer_weights
null
8812
memory
null
8813
memory
null
8815
threshold
0.0
8816
openml-python
Sklearn_0.20.0.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
21061990
description
https://api.openml.org/data/download/21061990/description.xml
-1
21061994
predictions
https://api.openml.org/data/download/21061994/predictions.arff
area_under_roc_curve
0.9376961111111113 [0.993767,0.898944,0.948029,0.928269,0.921081,0.962119,0.88795,0.960989,0.981153,0.89466]
average_cost
0
f_measure
0.7389082755424954 [0.972973,0.631818,0.883249,0.781671,0.639386,0.778894,0.517162,0.792453,0.929504,0.461972]
kappa
0.7094444444444445
kb_relative_information_score
1461.9622626868481
mean_absolute_error
0.06401525907123759
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7446330485912683 [0.956522,0.579167,0.896907,0.847953,0.65445,0.782828,0.476793,0.75,0.972678,0.529032]
predictive_accuracy
0.7384999999999999
prior_entropy
3.321928094887362
recall
0.7385 [0.99,0.695,0.87,0.725,0.625,0.775,0.565,0.84,0.89,0.41]
relative_absolute_error
0.35564032817353114
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.19507200230973548
root_relative_squared_error
0.6502400076991083
total_cost
0
area_under_roc_curve
0.9399027777777778 [0.998056,0.914028,0.92375,0.903333,0.948889,0.994861,0.88,0.954028,0.992639,0.889444]
area_under_roc_curve
0.9378194444444443 [0.974722,0.943472,0.908194,0.959028,0.906111,0.908056,0.937917,0.960833,0.970139,0.909722]
area_under_roc_curve
0.9006527777777776 [1,0.845833,0.961944,0.899861,0.872639,0.955972,0.803333,0.827917,0.997083,0.841944]
area_under_roc_curve
0.948263888888889 [1,0.851111,0.968333,0.984167,0.925972,0.990278,0.921667,0.979167,0.973889,0.888056]
area_under_roc_curve
0.9482499999999999 [0.999167,0.891806,0.965556,0.910694,0.955,0.93125,0.912083,0.984167,0.997222,0.935556]
area_under_roc_curve
0.9513888888888888 [0.999028,0.895972,0.9975,0.867778,0.9525,0.989028,0.917083,0.988194,0.968056,0.93875]
area_under_roc_curve
0.9347916666666666 [0.996806,0.960694,0.861806,0.899722,0.939028,0.955,0.908889,0.979583,0.996806,0.849583]
area_under_roc_curve
0.9412083333333332 [0.974444,0.925417,0.939444,0.930417,0.915694,0.989028,0.90375,0.993889,0.949722,0.890278]
area_under_roc_curve
0.9428472222222223 [1,0.864583,0.995972,0.984583,0.912917,0.92125,0.846806,0.983333,1,0.919028]
area_under_roc_curve
0.9318055555555556 [0.996389,0.901806,0.961944,0.948056,0.891944,0.994444,0.827222,0.963333,0.952361,0.880556]
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
0.7521624189081929 [0.952381,0.693878,0.829268,0.823529,0.666667,0.871795,0.487805,0.736842,0.918919,0.540541]
f_measure
0.7625475631871464 [0.926829,0.731707,0.8,0.820513,0.588235,0.772727,0.666667,0.8,0.947368,0.571429]
f_measure
0.6904514106684329 [1,0.530612,0.918919,0.742857,0.612245,0.789474,0.478261,0.516129,0.952381,0.363636]
f_measure
0.7377534105430721 [1,0.55814,0.883721,0.780488,0.651163,0.777778,0.564103,0.744186,0.947368,0.470588]
f_measure
0.6954238096524427 [0.97561,0.473684,0.894737,0.736842,0.516129,0.708333,0.511628,0.77551,0.95,0.411765]
f_measure
0.7597777023290503 [0.97561,0.666667,0.952381,0.722222,0.682927,0.923077,0.488889,0.863636,0.947368,0.375]
f_measure
0.7547545444248419 [0.97561,0.666667,0.833333,0.789474,0.6875,0.727273,0.590909,0.8,0.947368,0.529412]
f_measure
0.7428849360909011 [0.974359,0.595745,0.894737,0.829268,0.648649,0.777778,0.553191,0.909091,0.857143,0.388889]
f_measure
0.7514152457087239 [1,0.6875,0.952381,0.810811,0.636364,0.666667,0.388889,0.826087,1,0.545455]
f_measure
0.7237341426505511 [0.952381,0.705882,0.864865,0.75,0.684211,0.8,0.416667,0.863636,0.810811,0.388889]
kappa
0.7222222222222222
kappa
0.7388888888888889
kappa
0.6555555555555556
kappa
0.7111111111111111
kappa
0.6722222222222222
kappa
0.7388888888888889
kappa
0.7277777777777777
kappa
0.7111111111111111
kappa
0.7277777777777777
kappa
0.6888888888888889
kb_relative_information_score
146.24181617210098
kb_relative_information_score
147.5892639310022
kb_relative_information_score
138.35194190368048
kb_relative_information_score
149.30553732256115
kb_relative_information_score
145.3297969902832
kb_relative_information_score
150.05195785149826
kb_relative_information_score
149.36284591112656
kb_relative_information_score
147.19761136472445
kb_relative_information_score
148.81259700970827
kb_relative_information_score
139.71889423017055
mean_absolute_error
0.06352070717190106
mean_absolute_error
0.06242882001480363
mean_absolute_error
0.06929176255269008
mean_absolute_error
0.06113019929519924
mean_absolute_error
0.06583642864422902
mean_absolute_error
0.06223684567344581
mean_absolute_error
0.06040099855875402
mean_absolute_error
0.06293991307424396
mean_absolute_error
0.06165868200717218
mean_absolute_error
0.07070823371993305
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
0.7678125641721243 [0.909091,0.586207,0.809524,1,0.636364,0.894737,0.47619,0.777778,1,0.588235]
precision
0.7721867167919801 [0.904762,0.714286,0.8,0.842105,0.714286,0.708333,0.571429,0.8,1,0.666667]
precision
0.7186496262358331 [1,0.448276,1,0.866667,0.517241,0.833333,0.423077,0.727273,0.909091,0.461538]
precision
0.7439454614797865 [1,0.521739,0.826087,0.761905,0.608696,0.875,0.578947,0.695652,1,0.571429]
precision
0.7092452042377079 [0.952381,0.5,0.944444,0.777778,0.727273,0.607143,0.478261,0.655172,0.95,0.5]
precision
0.7656037252221463 [0.952381,0.636364,0.909091,0.8125,0.666667,0.947368,0.44,0.791667,1,0.5]
precision
0.7782499999999999 [0.952381,0.571429,0.9375,0.833333,0.916667,0.666667,0.541667,0.72,1,0.642857]
precision
0.7605683940242765 [1,0.518519,0.944444,0.809524,0.705882,0.875,0.481481,0.833333,1,0.4375]
precision
0.76439236073524 [1,0.916667,0.909091,0.882353,0.583333,0.684211,0.4375,0.730769,1,0.5]
precision
0.7555130561511016 [0.909091,0.580645,0.941176,1,0.722222,0.933333,0.357143,0.791667,0.882353,0.4375]
predictive_accuracy
0.75
predictive_accuracy
0.765
predictive_accuracy
0.69
predictive_accuracy
0.74
predictive_accuracy
0.705
predictive_accuracy
0.765
predictive_accuracy
0.755
predictive_accuracy
0.74
predictive_accuracy
0.755
predictive_accuracy
0.72
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
0.75 [1,0.85,0.85,0.7,0.7,0.85,0.5,0.7,0.85,0.5]
recall
0.765 [0.95,0.75,0.8,0.8,0.5,0.85,0.8,0.8,0.9,0.5]
recall
0.69 [1,0.65,0.85,0.65,0.75,0.75,0.55,0.4,1,0.3]
recall
0.74 [1,0.6,0.95,0.8,0.7,0.7,0.55,0.8,0.9,0.4]
recall
0.705 [1,0.45,0.85,0.7,0.4,0.85,0.55,0.95,0.95,0.35]
recall
0.765 [1,0.7,1,0.65,0.7,0.9,0.55,0.95,0.9,0.3]
recall
0.755 [1,0.8,0.75,0.75,0.55,0.8,0.65,0.9,0.9,0.45]
recall
0.74 [0.95,0.7,0.85,0.85,0.6,0.7,0.65,1,0.75,0.35]
recall
0.755 [1,0.55,1,0.75,0.7,0.65,0.35,0.95,1,0.6]
recall
0.72 [1,0.9,0.8,0.6,0.65,0.7,0.5,0.95,0.75,0.35]
relative_absolute_error
0.3528928176216729
relative_absolute_error
0.3468267778600206
relative_absolute_error
0.3849542364038342
relative_absolute_error
0.3396122183066628
relative_absolute_error
0.3657579369123839
relative_absolute_error
0.34576025374136604
relative_absolute_error
0.33556110310418935
relative_absolute_error
0.34966618374580016
relative_absolute_error
0.34254823337317913
relative_absolute_error
0.3928235206662952
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
0.1944016555112371
root_mean_squared_error
0.19309428596933192
root_mean_squared_error
0.21407459644239935
root_mean_squared_error
0.18900881576867165
root_mean_squared_error
0.19733521123875894
root_mean_squared_error
0.18416732423946872
root_mean_squared_error
0.1903460977438466
root_mean_squared_error
0.19177570410601572
root_mean_squared_error
0.18872858298104572
root_mean_squared_error
0.20594747892036658
root_relative_squared_error
0.6480055183707907
root_relative_squared_error
0.6436476198977735
root_relative_squared_error
0.7135819881413316
root_relative_squared_error
0.6300293858955726
root_relative_squared_error
0.6577840374625302
root_relative_squared_error
0.6138910807982294
root_relative_squared_error
0.634486992479489
root_relative_squared_error
0.6392523470200527
root_relative_squared_error
0.6290952766034861
root_relative_squared_error
0.6864915964012224
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
2258.632095999019
usercpu_time_millis
2055.461334000938
usercpu_time_millis
2106.94820199933
usercpu_time_millis
2189.2500399999335
usercpu_time_millis
2109.5598259989856
usercpu_time_millis
2110.9900450010173
usercpu_time_millis
2071.138408000479
usercpu_time_millis
2120.0165340005697
usercpu_time_millis
2119.8567550000007
usercpu_time_millis
2042.1801829998003
usercpu_time_millis_testing
1.5065069992488134
usercpu_time_millis_testing
1.5459010000995477
usercpu_time_millis_testing
1.6804919996502576
usercpu_time_millis_testing
1.4795380002396996
usercpu_time_millis_testing
1.7064209996533464
usercpu_time_millis_testing
1.4818090003245743
usercpu_time_millis_testing
1.345261000096798
usercpu_time_millis_testing
1.5294920003725565
usercpu_time_millis_testing
1.3617240001622122
usercpu_time_millis_testing
1.3532709999708459
usercpu_time_millis_training
2257.12558899977
usercpu_time_millis_training
2053.9154330008387
usercpu_time_millis_training
2105.26770999968
usercpu_time_millis_training
2187.770501999694
usercpu_time_millis_training
2107.8534049993323
usercpu_time_millis_training
2109.5082360006927
usercpu_time_millis_training
2069.7931470003823
usercpu_time_millis_training
2118.487042000197
usercpu_time_millis_training
2118.4950309998385
usercpu_time_millis_training
2040.8269119998295