10067700
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)
7992559
axis
0
8778
copy
true
8778
missing_values
"NaN"
8778
strategy
"median"
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
8
8783
min_samples_split
10
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
29051
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
21055935
description
https://api.openml.org/data/download/21055935/description.xml
-1
21055936
predictions
https://api.openml.org/data/download/21055936/predictions.arff
area_under_roc_curve
0.9160069444444444 [0.993694,0.871439,0.947869,0.926596,0.876194,0.936193,0.842319,0.957343,0.977285,0.831136]
average_cost
0
f_measure
0.7558514339077875 [0.975369,0.668281,0.866995,0.794118,0.676923,0.811083,0.553488,0.795,0.935065,0.482192]
kappa
0.7294444444444445
kb_relative_information_score
1499.6414083956258
mean_absolute_error
0.056911773781774116
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7572960794380467 [0.961165,0.647887,0.854369,0.778846,0.694737,0.817259,0.517391,0.795,0.972973,0.533333]
predictive_accuracy
0.7565000000000001
prior_entropy
3.321928094887362
recall
0.7565 [0.99,0.69,0.88,0.81,0.66,0.805,0.595,0.795,0.9,0.44]
relative_absolute_error
0.31617652100984645
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.19704736518879712
root_relative_squared_error
0.6568245506293137
total_cost
0
area_under_roc_curve
0.9283055555555555 [0.996667,0.924583,0.937222,0.96875,0.871111,0.973472,0.855417,0.904722,0.999583,0.851528]
area_under_roc_curve
0.9155833333333332 [0.972083,0.893611,0.889722,0.942639,0.878056,0.956528,0.864444,0.937361,0.971667,0.849722]
area_under_roc_curve
0.8879305555555554 [1,0.837361,0.943472,0.819167,0.890833,0.938056,0.717778,0.912778,0.999861,0.82]
area_under_roc_curve
0.9367361111111111 [1,0.870278,0.972361,0.987917,0.898194,0.892778,0.937639,0.991667,0.974167,0.842361]
area_under_roc_curve
0.9010277777777779 [0.996944,0.762639,0.969583,0.934167,0.871389,0.879722,0.821944,0.945972,0.972917,0.855]
area_under_roc_curve
0.9399722222222223 [1,0.908611,0.996667,0.947639,0.950139,0.965,0.876806,0.962361,0.998333,0.794167]
area_under_roc_curve
0.9172777777777779 [0.999861,0.9575,0.870833,0.910278,0.869861,0.903333,0.915833,0.960694,0.973472,0.811111]
area_under_roc_curve
0.9252916666666667 [0.974583,0.898472,0.966806,0.91125,0.829861,0.992083,0.827639,0.989444,0.989861,0.872917]
area_under_roc_curve
0.9180694444444444 [1,0.800417,0.996389,0.956389,0.869167,0.913889,0.832639,0.98625,1,0.825556]
area_under_roc_curve
0.8922361111111111 [0.996667,0.865833,0.942222,0.889028,0.838611,0.945417,0.779028,0.989861,0.888889,0.786806]
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
0.7483567561022632 [0.97561,0.653846,0.809524,0.829268,0.685714,0.894737,0.583333,0.666667,0.947368,0.4375]
f_measure
0.7289330333119329 [0.926829,0.611111,0.761905,0.85,0.666667,0.744186,0.5,0.75,0.923077,0.555556]
f_measure
0.7002501644993445 [1,0.55814,0.918919,0.666667,0.652174,0.780488,0.444444,0.606061,0.97561,0.4]
f_measure
0.8104367114175105 [1,0.680851,0.863636,0.878049,0.780488,0.888889,0.666667,0.8,0.974359,0.571429]
f_measure
0.7458431972640709 [0.97561,0.628571,0.923077,0.790698,0.666667,0.7,0.52381,0.8,0.95,0.5]
f_measure
0.7811326553290011 [0.97561,0.736842,0.930233,0.731707,0.731707,0.878049,0.585366,0.85,0.947368,0.444444]
f_measure
0.7756423290910479 [0.97561,0.782609,0.857143,0.761905,0.702703,0.682927,0.697674,0.863636,0.947368,0.484848]
f_measure
0.7386944927188829 [0.974359,0.681818,0.871795,0.772727,0.594595,0.820513,0.487805,0.85,0.857143,0.47619]
f_measure
0.7820909281965865 [1,0.705882,0.952381,0.857143,0.628571,0.842105,0.526316,0.808511,1,0.5]
f_measure
0.7385372890090574 [0.952381,0.631579,0.790698,0.8,0.65,0.9,0.521739,0.883721,0.810811,0.444444]
kappa
0.7222222222222222
kappa
0.7
kappa
0.6666666666666666
kappa
0.788888888888889
kappa
0.7222222222222222
kappa
0.7611111111111112
kappa
0.7555555555555555
kappa
0.7055555555555556
kappa
0.7611111111111112
kappa
0.7111111111111111
kb_relative_information_score
152.9512704642588
kb_relative_information_score
148.58275505033728
kb_relative_information_score
140.93683925089303
kb_relative_information_score
157.60303224839947
kb_relative_information_score
146.34494266066454
kb_relative_information_score
154.8469276253104
kb_relative_information_score
153.707884993609
kb_relative_information_score
149.3008150977355
kb_relative_information_score
152.4044937754584
kb_relative_information_score
142.9624472289801
mean_absolute_error
0.052497913197913186
mean_absolute_error
0.058423737373737364
mean_absolute_error
0.06488055555555554
mean_absolute_error
0.05204110611610611
mean_absolute_error
0.05984911477411475
mean_absolute_error
0.053416466866466845
mean_absolute_error
0.05298417970917968
mean_absolute_error
0.05732688700188701
mean_absolute_error
0.054290842490842504
mean_absolute_error
0.0634069347319347
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
0.7739813658563658 [0.952381,0.53125,0.772727,0.809524,0.8,0.944444,0.5,0.846154,1,0.583333]
precision
0.733009908664943 [0.904762,0.6875,0.727273,0.85,0.684211,0.695652,0.458333,0.75,0.947368,0.625]
precision
0.7133055883856799 [1,0.521739,1,0.684211,0.576923,0.761905,0.4,0.769231,0.952381,0.466667]
precision
0.8239670514670514 [1,0.592593,0.791667,0.857143,0.761905,1,0.636364,0.933333,1,0.666667]
precision
0.7488923667865315 [0.952381,0.733333,0.947368,0.73913,0.684211,0.7,0.5,0.72,0.95,0.5625]
precision
0.7806866804692892 [0.952381,0.777778,0.869565,0.714286,0.714286,0.857143,0.571429,0.85,1,0.5]
precision
0.7862559116075741 [0.952381,0.692308,1,0.727273,0.764706,0.666667,0.652174,0.791667,1,0.615385]
precision
0.7497970192861833 [1,0.625,0.894737,0.708333,0.647059,0.842105,0.47619,0.85,1,0.454545]
precision
0.7924230399230399 [1,0.857143,0.909091,0.818182,0.733333,0.888889,0.555556,0.703704,1,0.458333]
precision
0.7468199703110189 [0.909091,0.666667,0.73913,0.933333,0.65,0.9,0.461538,0.826087,0.882353,0.5]
predictive_accuracy
0.75
predictive_accuracy
0.73
predictive_accuracy
0.7
predictive_accuracy
0.81
predictive_accuracy
0.75
predictive_accuracy
0.785
predictive_accuracy
0.78
predictive_accuracy
0.735
predictive_accuracy
0.785
predictive_accuracy
0.74
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 [1,0.85,0.85,0.85,0.6,0.85,0.7,0.55,0.9,0.35]
recall
0.73 [0.95,0.55,0.8,0.85,0.65,0.8,0.55,0.75,0.9,0.5]
recall
0.7 [1,0.6,0.85,0.65,0.75,0.8,0.5,0.5,1,0.35]
recall
0.81 [1,0.8,0.95,0.9,0.8,0.8,0.7,0.7,0.95,0.5]
recall
0.75 [1,0.55,0.9,0.85,0.65,0.7,0.55,0.9,0.95,0.45]
recall
0.785 [1,0.7,1,0.75,0.75,0.9,0.6,0.85,0.9,0.4]
recall
0.78 [1,0.9,0.75,0.8,0.65,0.7,0.75,0.95,0.9,0.4]
recall
0.735 [0.95,0.75,0.85,0.85,0.55,0.8,0.5,0.85,0.75,0.5]
recall
0.785 [1,0.6,1,0.9,0.55,0.8,0.5,0.95,1,0.55]
recall
0.74 [1,0.6,0.85,0.7,0.65,0.9,0.6,0.95,0.75,0.4]
relative_absolute_error
0.2916550733217403
relative_absolute_error
0.3245763187429857
relative_absolute_error
0.36044753086419784
relative_absolute_error
0.28911725620058987
relative_absolute_error
0.33249508207841566
relative_absolute_error
0.2967581492581495
relative_absolute_error
0.2943565539398874
relative_absolute_error
0.3184827055660393
relative_absolute_error
0.30161579161579205
relative_absolute_error
0.3522607485107487
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
0.19307048359879583
root_mean_squared_error
0.20085450423446294
root_mean_squared_error
0.21715745416517493
root_mean_squared_error
0.1750858144258954
root_mean_squared_error
0.20901920387112138
root_mean_squared_error
0.1845628151232188
root_mean_squared_error
0.19139822436033258
root_mean_squared_error
0.19623000237739813
root_mean_squared_error
0.19022417982101963
root_mean_squared_error
0.2092087532452247
root_relative_squared_error
0.6435682786626532
root_relative_squared_error
0.6695150141148768
root_relative_squared_error
0.7238581805505835
root_relative_squared_error
0.5836193814196518
root_relative_squared_error
0.696730679570405
root_relative_squared_error
0.615209383744063
root_relative_squared_error
0.6379940812011089
root_relative_squared_error
0.6541000079246608
root_relative_squared_error
0.6340805994033992
root_relative_squared_error
0.6973625108174162
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
179.6472209989588
usercpu_time_millis
161.8194359989502
usercpu_time_millis
165.49497000050906
usercpu_time_millis
156.96247300002142
usercpu_time_millis
124.48442299955786
usercpu_time_millis
128.68583900126396
usercpu_time_millis
124.99390299944935
usercpu_time_millis
127.18985499941482
usercpu_time_millis
126.80783199994039
usercpu_time_millis
125.47935400016286
usercpu_time_millis_testing
1.7733999993652105
usercpu_time_millis_testing
1.7507869997643866
usercpu_time_millis_testing
1.7596640000192565
usercpu_time_millis_testing
1.3978879997011973
usercpu_time_millis_testing
1.3600799993582768
usercpu_time_millis_testing
1.3808500007144175
usercpu_time_millis_testing
1.409810000041034
usercpu_time_millis_testing
1.3691389995074132
usercpu_time_millis_testing
1.3675760001206072
usercpu_time_millis_testing
1.3712119998672279
usercpu_time_millis_training
177.8738209995936
usercpu_time_millis_training
160.06864899918583
usercpu_time_millis_training
163.7353060004898
usercpu_time_millis_training
155.56458500032022
usercpu_time_millis_training
123.12434300019959
usercpu_time_millis_training
127.30498900054954
usercpu_time_millis_training
123.58409299940831
usercpu_time_millis_training
125.8207159999074
usercpu_time_millis_training
125.44025599981978
usercpu_time_millis_training
124.10814200029563