10227121
1
Jan van Rijn
18
Supervised Classification
9666
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,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(4)
8152553
copy
true
9559
fill_value
-1
9559
missing_values
NaN
9559
strategy
"constant"
9559
verbose
0
9559
n_jobs
null
9606
remainder
"passthrough"
9606
sparse_threshold
0.3
9606
transformer_weights
null
9606
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [0, 1, 2, 3, 4, 5]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": []}}]
9606
memory
null
9607
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
9607
axis
0
9608
copy
true
9608
missing_values
"NaN"
9608
strategy
"mean"
9608
verbose
0
9608
copy
true
9609
with_mean
true
9609
with_std
true
9609
memory
null
9610
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
9610
categorical_features
null
9611
categories
null
9611
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
9611
handle_unknown
"ignore"
9611
n_values
null
9611
sparse
true
9611
threshold
0.0
9612
memory
null
9666
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}]
9666
criterion
"friedman_mse"
9667
init
null
9667
learning_rate
0.0001589452992337623
9667
loss
"deviance"
9667
max_depth
4
9667
max_features
0.9721911774991453
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.9344530531225049
9667
min_impurity_split
null
9667
min_samples_leaf
2
9667
min_samples_split
7
9667
min_weight_fraction_leaf
0.18408192628606612
9667
n_estimators
887
9667
n_iter_no_change
951
9667
presort
"auto"
9667
random_state
37849
9667
subsample
0.9824435040565486
9667
tol
6.825837608346208e-05
9667
validation_fraction
0.35077771366734456
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
18
mfeat-morphological
https://www.openml.org/data/download/18/dataset_18_mfeat-morphological.arff
-1
21375158
description
https://api.openml.org/data/download/21375158/description.xml
-1
21375159
predictions
https://api.openml.org/data/download/21375159/predictions.arff
area_under_roc_curve
0.5404255555555554 [0.932756,0.628678,0.41379,0.776574,0.797983,0.7082,0.066939,0.65355,0.323781,0.102006]
average_cost
0
f_measure
0.08836591824937749 [0.548926,0.007353,0.005038,0.225806,0.037915,0.055249,0.003373,0,0,0]
kappa
-0.018333333333333333
kb_relative_information_score
61.12053015935985
mean_absolute_error
0.17968538125705066
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.12901702924140068 [0.525114,0.013889,0.005076,0.318182,0.363636,0.061728,0.002545,0,0,0]
predictive_accuracy
0.08349999999999999
prior_entropy
3.321928094887362
recall
0.0835 [0.575,0.005,0.005,0.175,0.02,0.05,0.005,0,0,0]
relative_absolute_error
0.9982521180946953
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.30022443539581706
root_relative_squared_error
1.0007481179860414
total_cost
0
area_under_roc_curve
0.5169722222222223 [0.884028,0.574306,0.3375,0.742361,0.757083,0.702639,0.084444,0.710139,0.293889,0.083333]
area_under_roc_curve
0.5255555555555556 [0.905556,0.628056,0.370417,0.776667,0.750278,0.661528,0.073472,0.674444,0.249167,0.165972]
area_under_roc_curve
0.532861111111111 [0.8925,0.589444,0.321806,0.772639,0.822083,0.679444,0.09,0.730972,0.301944,0.127778]
area_under_roc_curve
0.5420555555555555 [0.916667,0.586667,0.415139,0.805972,0.787361,0.746389,0.040833,0.674028,0.310556,0.136944]
area_under_roc_curve
0.5336111111111111 [0.9,0.686944,0.4675,0.746111,0.82625,0.742917,0.070139,0.609444,0.225278,0.061528]
area_under_roc_curve
0.55875 [0.916667,0.729583,0.445694,0.848611,0.7675,0.739583,0.063194,0.612083,0.372778,0.091806]
area_under_roc_curve
0.5355833333333332 [0.902083,0.675833,0.415972,0.720417,0.796944,0.662222,0.081528,0.670139,0.331667,0.099028]
area_under_roc_curve
0.5355000000000001 [0.922222,0.595694,0.507083,0.7425,0.809722,0.704444,0.053333,0.638611,0.312778,0.068611]
area_under_roc_curve
0.5385555555555556 [0.905556,0.544306,0.479167,0.794306,0.756111,0.728611,0.055139,0.633889,0.376111,0.112361]
area_under_roc_curve
0.5389999999999999 [0.916667,0.690833,0.467917,0.761389,0.828056,0.712222,0.051806,0.590694,0.290833,0.079583]
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
0.09193121693121693 [0.678571,0,0,0.074074,0.166667,0,0,0,0,0]
f_measure
0.10892875240701327 [0.653846,0,0,0.30303,0.086957,0.045455,0,0,0,0]
f_measure
0.08811188811188812 [0.727273,0,0,0.153846,0,0,0,0,0,0]
kappa
0.011111111111111105
kappa
-0.08333333333333334
kappa
0.02222222222222221
kappa
0.02777777777777777
kappa
0.02222222222222221
kappa
0.011111111111111105
kappa
0.02222222222222221
kappa
-0.08333333333333334
kappa
-0.05555555555555556
kappa
-0.07777777777777778
kb_relative_information_score
5.393392725815392
kb_relative_information_score
5.529024673863962
kb_relative_information_score
5.943298345523983
kb_relative_information_score
6.607128976477844
kb_relative_information_score
6.132374095960092
kb_relative_information_score
6.528121853366034
kb_relative_information_score
6.1949929179758785
kb_relative_information_score
6.0485000509641065
kb_relative_information_score
6.376039945189623
kb_relative_information_score
6.367656574222793
mean_absolute_error
0.17991841993002894
mean_absolute_error
0.17980399395863833
mean_absolute_error
0.17971853127713155
mean_absolute_error
0.17954036461444242
mean_absolute_error
0.17967006058495535
mean_absolute_error
0.17951884742077379
mean_absolute_error
0.17967331378725698
mean_absolute_error
0.17972643627222198
mean_absolute_error
0.1796698059085634
mean_absolute_error
0.1796140388164922
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
0.11706349206349205 [0.527778,0,0,0.142857,0.5,0,0,0,0,0]
precision
0.12908653846153845 [0.53125,0,0,0.384615,0.333333,0.041667,0,0,0,0]
precision
0.09047619047619047 [0.571429,0,0,0.333333,0,0,0,0,0,0]
predictive_accuracy
0.11
predictive_accuracy
0.025
predictive_accuracy
0.12
predictive_accuracy
0.125
predictive_accuracy
0.12
predictive_accuracy
0.11
predictive_accuracy
0.12
predictive_accuracy
0.025
predictive_accuracy
0.05
predictive_accuracy
0.03
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
0.11 [0.95,0,0,0.05,0.1,0,0,0,0,0]
recall
0.025 [0,0,0,0.2,0,0.05,0,0,0,0]
recall
0.12 [0.85,0,0,0.25,0.05,0.05,0,0,0,0]
recall
0.125 [1,0,0,0.15,0,0.1,0,0,0,0]
recall
0.12 [1,0,0,0.1,0,0.1,0,0,0,0]
recall
0.11 [1,0,0,0.1,0,0,0,0,0,0]
recall
0.12 [0.95,0,0.05,0.1,0.05,0,0.05,0,0,0]
recall
0.025 [0,0,0,0.2,0,0.05,0,0,0,0]
recall
0.05 [0,0,0,0.4,0,0.1,0,0,0,0]
recall
0.03 [0,0.05,0,0.2,0,0.05,0,0,0,0]
relative_absolute_error
0.9995467773890507
relative_absolute_error
0.9989110775479919
relative_absolute_error
0.9984362848729543
relative_absolute_error
0.9974464700802369
relative_absolute_error
0.998167003249753
relative_absolute_error
0.9973269301154111
relative_absolute_error
0.9981850765958733
relative_absolute_error
0.9984802015123454
relative_absolute_error
0.998165588380909
relative_absolute_error
0.9978557712027357
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
0.3005862634298083
root_mean_squared_error
0.30037153870061933
root_mean_squared_error
0.30023998201434376
root_mean_squared_error
0.2999811055267659
root_mean_squared_error
0.3002040457827406
root_mean_squared_error
0.29997058219459355
root_mean_squared_error
0.30021854581610685
root_mean_squared_error
0.30031332485649037
root_mean_squared_error
0.3002258816144497
root_mean_squared_error
0.30013259565450023
root_relative_squared_error
1.001954211432695
root_relative_squared_error
1.0012384623353983
root_relative_squared_error
1.0007999400478131
root_relative_squared_error
0.9999370184225537
root_relative_squared_error
1.000680152609136
root_relative_squared_error
0.9999019406486457
root_relative_squared_error
1.0007284860536902
root_relative_squared_error
1.0010444161883019
root_relative_squared_error
1.0007529387148328
root_relative_squared_error
1.0004419855150015
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
9842.199899998377
usercpu_time_millis
9822.75434800249
usercpu_time_millis
9808.909393002978
usercpu_time_millis
9764.014451997355
usercpu_time_millis
9745.309476005787
usercpu_time_millis
9835.697833004815
usercpu_time_millis
9814.880452999205
usercpu_time_millis
9777.76492000703
usercpu_time_millis
9762.968239003385
usercpu_time_millis
9950.36600799358
usercpu_time_millis_testing
10.746097999799531
usercpu_time_millis_testing
10.343165005906485
usercpu_time_millis_testing
13.288743000885006
usercpu_time_millis_testing
10.627161995216738
usercpu_time_millis_testing
11.201158005860634
usercpu_time_millis_testing
11.002514002029784
usercpu_time_millis_testing
11.381627999071497
usercpu_time_millis_testing
11.16307100164704
usercpu_time_millis_testing
11.475163002614863
usercpu_time_millis_testing
12.176288997579832
usercpu_time_millis_training
9831.453801998578
usercpu_time_millis_training
9812.411182996584
usercpu_time_millis_training
9795.620650002093
usercpu_time_millis_training
9753.387290002138
usercpu_time_millis_training
9734.108317999926
usercpu_time_millis_training
9824.695319002785
usercpu_time_millis_training
9803.498825000133
usercpu_time_millis_training
9766.601849005383
usercpu_time_millis_training
9751.49307600077
usercpu_time_millis_training
9938.189718996