10098558
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)
8023711
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
"entropy"
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
15
8783
min_samples_split
11
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
24627
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
21117653
description
https://api.openml.org/data/download/21117653/description.xml
-1
21117654
predictions
https://api.openml.org/data/download/21117654/predictions.arff
area_under_roc_curve
0.9414415277777779 [0.991129,0.906801,0.969465,0.936371,0.923653,0.955908,0.88846,0.968965,0.977296,0.896367]
average_cost
0
f_measure
0.7471877310049931 [0.953317,0.657596,0.895288,0.757282,0.690176,0.820779,0.474227,0.846715,0.937343,0.439153]
kappa
0.7205555555555556
kb_relative_information_score
1519.246237338056
mean_absolute_error
0.058767163610435894
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7483749720154144 [0.937198,0.60166,0.93956,0.735849,0.695431,0.854054,0.489362,0.824645,0.939698,0.466292]
predictive_accuracy
0.7484999999999999
prior_entropy
3.321928094887362
recall
0.7485 [0.97,0.725,0.855,0.78,0.685,0.79,0.46,0.87,0.935,0.415]
relative_absolute_error
0.3264842422801894
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1895690592937089
root_relative_squared_error
0.6318968643123533
total_cost
0
area_under_roc_curve
0.9449583333333332 [0.999861,0.918194,0.964861,0.882778,0.952778,0.997778,0.870556,0.968889,0.9975,0.896389]
area_under_roc_curve
0.913375 [0.974167,0.91125,0.94,0.929444,0.838056,0.89625,0.834583,0.987083,0.948056,0.874861]
area_under_roc_curve
0.9359583333333334 [0.974028,0.886667,0.945139,0.860833,0.97375,0.990833,0.891667,0.941667,0.996944,0.898056]
area_under_roc_curve
0.936388888888889 [0.997222,0.882361,0.972361,0.985972,0.907778,0.901111,0.89625,0.945,0.973889,0.901944]
area_under_roc_curve
0.9370833333333334 [0.997083,0.889167,0.966806,0.908611,0.946389,0.961806,0.924861,0.930833,0.99875,0.846528]
area_under_roc_curve
0.9489583333333332 [0.999861,0.920139,0.998056,0.959444,0.942083,0.938194,0.870694,0.978056,0.99875,0.884306]
area_under_roc_curve
0.9615833333333333 [0.999722,0.955139,0.9475,0.961111,0.980833,0.979583,0.925,0.962917,0.974722,0.929306]
area_under_roc_curve
0.9331527777777778 [0.973611,0.852222,0.999444,0.939306,0.86125,0.992361,0.909861,0.987778,0.919444,0.89625]
area_under_roc_curve
0.9678194444444445 [0.999583,0.917083,0.997917,0.993194,0.953194,0.970833,0.923889,0.993472,1,0.929028]
area_under_roc_curve
0.9367500000000003 [0.995972,0.940694,0.9675,0.939167,0.882361,0.93625,0.824861,0.993472,0.968611,0.918611]
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
0.72847263671636 [0.97561,0.6,0.842105,0.8,0.790698,0.923077,0.4,0.789474,0.878049,0.285714]
f_measure
0.7063709866374285 [0.95,0.681818,0.833333,0.780488,0.578947,0.684211,0.315789,0.837209,0.947368,0.454545]
f_measure
0.7175355233282061 [0.95,0.625,0.918919,0.611111,0.755556,0.878049,0.35,0.833333,0.97561,0.277778]
f_measure
0.7406266295491671 [0.904762,0.595745,0.923077,0.826087,0.590909,0.777778,0.540541,0.8,0.947368,0.5]
f_measure
0.7375972821929175 [0.97561,0.636364,0.888889,0.7,0.666667,0.789474,0.5,0.755556,0.97561,0.487805]
f_measure
0.7745961278929464 [0.97561,0.744186,0.947368,0.8,0.647059,0.857143,0.484848,0.844444,0.904762,0.540541]
f_measure
0.7948902595414222 [0.974359,0.75,0.923077,0.761905,0.756757,0.761905,0.65,0.883721,0.974359,0.512821]
f_measure
0.7460244233980687 [0.95,0.604651,0.9,0.636364,0.628571,0.9,0.571429,0.878049,0.864865,0.526316]
f_measure
0.7706254291429083 [0.95,0.666667,0.894737,0.833333,0.790698,0.75,0.487805,0.883721,0.97561,0.473684]
f_measure
0.7453237356248817 [0.930233,0.695652,0.878049,0.8,0.666667,0.864865,0.444444,0.952381,0.926829,0.294118]
kappa
0.7
kappa
0.6722222222222222
kappa
0.6888888888888889
kappa
0.7111111111111111
kappa
0.7111111111111111
kappa
0.7611111111111112
kappa
0.7722222222222223
kappa
0.7166666666666667
kappa
0.75
kappa
0.7222222222222222
kb_relative_information_score
151.35407409414685
kb_relative_information_score
142.64813446641335
kb_relative_information_score
147.40088387632147
kb_relative_information_score
150.89874159034093
kb_relative_information_score
150.96249285485473
kb_relative_information_score
154.10811776549284
kb_relative_information_score
161.58926262863616
kb_relative_information_score
149.22233689554204
kb_relative_information_score
161.69871395725283
kb_relative_information_score
149.36347920907284
mean_absolute_error
0.05759576611940971
mean_absolute_error
0.06837413016794952
mean_absolute_error
0.061624157072655186
mean_absolute_error
0.058475901290831606
mean_absolute_error
0.05979170103029237
mean_absolute_error
0.05719493735529734
mean_absolute_error
0.04773753891202101
mean_absolute_error
0.06282516267347163
mean_absolute_error
0.05176841116740761
mean_absolute_error
0.06228393031501975
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
0.7384911554247938 [0.952381,0.5,0.888889,0.933333,0.73913,0.947368,0.4,0.833333,0.857143,0.333333]
precision
0.714034679089027 [0.95,0.625,0.9375,0.761905,0.611111,0.722222,0.333333,0.782609,1,0.416667]
precision
0.7262738095238095 [0.95,0.535714,1,0.6875,0.68,0.857143,0.35,0.9375,0.952381,0.3125]
precision
0.7561027828094392 [0.863636,0.518519,0.947368,0.730769,0.541667,0.875,0.588235,0.933333,1,0.5625]
precision
0.748064935064935 [0.952381,0.583333,1,0.7,0.636364,0.833333,0.666667,0.68,0.952381,0.47619]
precision
0.7799185503328726 [0.952381,0.695652,1,0.72,0.785714,0.818182,0.615385,0.76,0.863636,0.588235]
precision
0.7977846033358215 [1,0.75,0.947368,0.727273,0.823529,0.727273,0.65,0.826087,1,0.526316]
precision
0.7531213486712208 [0.95,0.565217,0.9,0.583333,0.733333,0.9,0.545455,0.857143,0.941176,0.555556]
precision
0.7852518978605935 [0.95,0.75,0.944444,0.714286,0.73913,1,0.47619,0.826087,0.952381,0.5]
precision
0.7537598164836017 [0.869565,0.615385,0.857143,0.933333,0.75,0.941176,0.4,0.909091,0.904762,0.357143]
predictive_accuracy
0.73
predictive_accuracy
0.705
predictive_accuracy
0.72
predictive_accuracy
0.74
predictive_accuracy
0.74
predictive_accuracy
0.785
predictive_accuracy
0.795
predictive_accuracy
0.745
predictive_accuracy
0.775
predictive_accuracy
0.75
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
0.73 [1,0.75,0.8,0.7,0.85,0.9,0.4,0.75,0.9,0.25]
recall
0.705 [0.95,0.75,0.75,0.8,0.55,0.65,0.3,0.9,0.9,0.5]
recall
0.72 [0.95,0.75,0.85,0.55,0.85,0.9,0.35,0.75,1,0.25]
recall
0.74 [0.95,0.7,0.9,0.95,0.65,0.7,0.5,0.7,0.9,0.45]
recall
0.74 [1,0.7,0.8,0.7,0.7,0.75,0.4,0.85,1,0.5]
recall
0.785 [1,0.8,0.9,0.9,0.55,0.9,0.4,0.95,0.95,0.5]
recall
0.795 [0.95,0.75,0.9,0.8,0.7,0.8,0.65,0.95,0.95,0.5]
recall
0.745 [0.95,0.65,0.9,0.7,0.55,0.9,0.6,0.9,0.8,0.5]
recall
0.775 [0.95,0.6,0.85,1,0.85,0.6,0.5,0.95,1,0.45]
recall
0.75 [1,0.8,0.9,0.7,0.6,0.8,0.5,1,0.95,0.25]
relative_absolute_error
0.3199764784411654
relative_absolute_error
0.3798562787108311
relative_absolute_error
0.34235642818141804
relative_absolute_error
0.32486611828239814
relative_absolute_error
0.33217611683495796
relative_absolute_error
0.31774965197387445
relative_absolute_error
0.26520854951122813
relative_absolute_error
0.34902868151928723
relative_absolute_error
0.2876022842633759
relative_absolute_error
0.3460218350834435
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
0.19422621684161986
root_mean_squared_error
0.2104386326147341
root_mean_squared_error
0.19635385273710756
root_mean_squared_error
0.19218201042001248
root_mean_squared_error
0.19313915910426657
root_mean_squared_error
0.1809219602951694
root_mean_squared_error
0.1705259956634481
root_mean_squared_error
0.19319327042484982
root_mean_squared_error
0.16703070544040527
root_mean_squared_error
0.19372603956344586
root_relative_squared_error
0.6474207228053999
root_relative_squared_error
0.7014621087157807
root_relative_squared_error
0.6545128424570257
root_relative_squared_error
0.640606701400042
root_relative_squared_error
0.6437971970142223
root_relative_squared_error
0.6030732009838984
root_relative_squared_error
0.5684199855448273
root_relative_squared_error
0.6439775680828332
root_relative_squared_error
0.5567690181346846
root_relative_squared_error
0.6457534652114866
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
662.4681920000057
usercpu_time_millis
524.5270460000029
usercpu_time_millis
448.610773999917
usercpu_time_millis
443.9725110000836
usercpu_time_millis
447.74864900023204
usercpu_time_millis
438.06083000004037
usercpu_time_millis
460.18705799997406
usercpu_time_millis
467.5292280001031
usercpu_time_millis
439.91456499975357
usercpu_time_millis
446.9769659999656
usercpu_time_millis_testing
1.8559960001311993
usercpu_time_millis_testing
1.4340049999645998
usercpu_time_millis_testing
1.320097999951031
usercpu_time_millis_testing
1.3212200001362362
usercpu_time_millis_testing
1.3206470000568515
usercpu_time_millis_testing
1.3099870000132796
usercpu_time_millis_testing
1.312266000013551
usercpu_time_millis_testing
1.3240099999620725
usercpu_time_millis_testing
1.3100459998440783
usercpu_time_millis_testing
1.3183339999613963
usercpu_time_millis_training
660.6121959998745
usercpu_time_millis_training
523.0930410000383
usercpu_time_millis_training
447.29067599996597
usercpu_time_millis_training
442.6512909999474
usercpu_time_millis_training
446.4280020001752
usercpu_time_millis_training
436.7508430000271
usercpu_time_millis_training
458.8747919999605
usercpu_time_millis_training
466.20521800014103
usercpu_time_millis_training
438.6045189999095
usercpu_time_millis_training
445.6586320000042