5957814
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)
3992555
class_weight
null
6941
criterion
"gini"
6941
max_depth
5
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
10868
6941
splitter
"best"
6941
axis
0
6947
categorical_features
[]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"median"
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"
6971
learning_rate
0.03200008126225316
6971
n_estimators
88
6971
random_state
52503
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
12839057
description
https://api.openml.org/data/download/12839057/description.xml
-1
12839058
predictions
https://api.openml.org/data/download/12839058/predictions.arff
area_under_roc_curve
0.9782383333333333 [0.999964,0.96196,0.995392,0.987167,0.973789,0.991997,0.943601,0.991537,0.998414,0.938562]
average_cost
0
f_measure
0.8221813121663475 [0.984925,0.780856,0.945274,0.879397,0.784,0.907731,0.556098,0.87886,0.934673,0.57]
kappa
0.8022222222222222
kb_relative_information_score
41.0434212913848
mean_absolute_error
0.17902779467677035
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.823596125506536 [0.989899,0.786802,0.940594,0.883838,0.84,0.905473,0.542857,0.837104,0.939394,0.57]
predictive_accuracy
0.8220000000000001
prior_entropy
3.321928094887362
recall
0.822 [0.98,0.775,0.95,0.875,0.735,0.91,0.57,0.925,0.93,0.57]
relative_absolute_error
0.9945988593153602
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.2983820539012254
root_relative_squared_error
0.9946068463374027
total_cost
0
area_under_roc_curve
0.9771944444444445 [1,0.966667,0.996111,0.994444,0.960556,1,0.916944,0.990278,0.999167,0.947778]
area_under_roc_curve
0.9811111111111112 [0.999722,0.975556,0.998333,0.988333,0.967778,0.99,0.951111,0.993611,0.999167,0.9475]
area_under_roc_curve
0.9739999999999999 [1,0.960556,1,0.953056,0.978056,0.993056,0.925278,0.991111,1,0.938889]
area_under_roc_curve
0.9833333333333333 [1,0.973333,0.996667,0.996111,0.988889,0.994167,0.97,0.987778,1,0.926389]
area_under_roc_curve
0.9789722222222222 [1,0.971944,0.993889,0.995,0.968333,0.993889,0.946944,0.993611,0.999722,0.926389]
area_under_roc_curve
0.9837222222222222 [1,0.974722,1,0.994167,0.981667,0.990278,0.949722,0.991111,0.999167,0.956389]
area_under_roc_curve
0.9817777777777776 [1,0.971389,0.995278,0.995278,0.988889,0.989167,0.97125,0.989167,0.999722,0.917639]
area_under_roc_curve
0.9768611111111111 [1,0.944861,0.9975,0.981667,0.963889,0.994167,0.94375,0.995139,0.993611,0.954028]
area_under_roc_curve
0.9754722222222222 [1,0.934444,0.998611,0.996667,0.974167,0.980833,0.949722,0.994167,1,0.926111]
area_under_roc_curve
0.9741111111111111 [1,0.951667,0.981111,0.979722,0.9725,0.995556,0.908194,0.994167,0.992778,0.965417]
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
0.8109514057395957 [1,0.772727,0.926829,0.894737,0.731707,0.947368,0.52381,0.871795,0.9,0.540541]
f_measure
0.8123153162626848 [0.974359,0.85,0.95,0.871795,0.606061,0.857143,0.578947,0.818182,0.95,0.666667]
f_measure
0.7984742891047932 [1,0.744186,0.974359,0.833333,0.818182,0.918919,0.439024,0.842105,0.97561,0.439024]
f_measure
0.8393725344688118 [0.974359,0.722222,0.926829,0.863636,0.8,0.923077,0.684211,0.842105,0.974359,0.682927]
f_measure
0.8088788062600643 [1,0.736842,0.947368,0.926829,0.742857,0.909091,0.487805,0.863636,0.974359,0.5]
f_measure
0.861936621068569 [1,0.85,1,0.878049,0.823529,0.904762,0.68,0.952381,0.95,0.580645]
f_measure
0.8396320369426915 [0.974359,0.780488,0.918919,0.878049,0.918919,0.904762,0.631579,0.863636,0.97561,0.55]
f_measure
0.8050138821948238 [0.974359,0.7,0.97561,0.85,0.756757,0.864865,0.55,0.930233,0.829268,0.619048]
f_measure
0.8491547347815853 [1,0.857143,0.952381,0.926829,0.823529,0.926829,0.5,0.909091,1,0.595745]
f_measure
0.7902004239820216 [0.952381,0.8,0.883721,0.864865,0.8,0.923077,0.478261,0.888889,0.810811,0.5]
kappa
0.788888888888889
kappa
0.7944444444444444
kappa
0.7722222222222223
kappa
0.8222222222222222
kappa
0.788888888888889
kappa
0.85
kappa
0.8222222222222222
kappa
0.7833333333333334
kappa
0.8333333333333333
kappa
0.7666666666666667
kb_relative_information_score
4.073002030690687
kb_relative_information_score
4.120811682824369
kb_relative_information_score
3.9833866456736406
kb_relative_information_score
4.217142892701487
kb_relative_information_score
4.122753204969787
kb_relative_information_score
4.193529236802566
kb_relative_information_score
4.062075568182493
kb_relative_information_score
3.970583122073271
kb_relative_information_score
4.221078726873822
kb_relative_information_score
4.079058180592651
mean_absolute_error
0.1790356037078487
mean_absolute_error
0.17902273464711616
mean_absolute_error
0.179057888581058
mean_absolute_error
0.17900052452088844
mean_absolute_error
0.17902322680030455
mean_absolute_error
0.1790053978429895
mean_absolute_error
0.17903830920661412
mean_absolute_error
0.17905955835252807
mean_absolute_error
0.1790008653378432
mean_absolute_error
0.17903383777051918
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
0.8154797533048307 [1,0.708333,0.904762,0.944444,0.714286,1,0.5,0.894737,0.9,0.588235]
precision
0.8193260540628962 [1,0.85,0.95,0.894737,0.769231,0.818182,0.611111,0.75,0.95,0.6]
precision
0.8081564872325743 [1,0.695652,1,0.9375,0.75,1,0.428571,0.888889,0.952381,0.428571]
precision
0.8454074770258981 [1,0.8125,0.904762,0.791667,0.72,0.947368,0.722222,0.888889,1,0.666667]
precision
0.8150396825396825 [1,0.777778,1,0.904762,0.866667,0.833333,0.47619,0.791667,1,0.5]
precision
0.8814718614718615 [1,0.85,1,0.857143,1,0.863636,0.566667,0.909091,0.95,0.818182]
precision
0.8443398268398268 [1,0.761905,1,0.857143,1,0.863636,0.666667,0.791667,0.952381,0.55]
precision
0.8087084952558098 [1,0.7,0.952381,0.85,0.823529,0.941176,0.55,0.869565,0.809524,0.590909]
precision
0.863296657046657 [1,1,0.909091,0.904762,1,0.904762,0.5625,0.833333,1,0.518519]
precision
0.8024985954840242 [0.909091,0.8,0.826087,0.941176,0.933333,0.947368,0.423077,0.8,0.882353,0.5625]
predictive_accuracy
0.81
predictive_accuracy
0.815
predictive_accuracy
0.795
predictive_accuracy
0.84
predictive_accuracy
0.81
predictive_accuracy
0.865
predictive_accuracy
0.84
predictive_accuracy
0.805
predictive_accuracy
0.85
predictive_accuracy
0.79
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
0.81 [1,0.85,0.95,0.85,0.75,0.9,0.55,0.85,0.9,0.5]
recall
0.815 [0.95,0.85,0.95,0.85,0.5,0.9,0.55,0.9,0.95,0.75]
recall
0.795 [1,0.8,0.95,0.75,0.9,0.85,0.45,0.8,1,0.45]
recall
0.84 [0.95,0.65,0.95,0.95,0.9,0.9,0.65,0.8,0.95,0.7]
recall
0.81 [1,0.7,0.9,0.95,0.65,1,0.5,0.95,0.95,0.5]
recall
0.865 [1,0.85,1,0.9,0.7,0.95,0.85,1,0.95,0.45]
recall
0.84 [0.95,0.8,0.85,0.9,0.85,0.95,0.6,0.95,1,0.55]
recall
0.805 [0.95,0.7,1,0.85,0.7,0.8,0.55,1,0.85,0.65]
recall
0.85 [1,0.75,1,0.95,0.7,0.95,0.45,1,1,0.7]
recall
0.79 [1,0.8,0.95,0.8,0.7,0.9,0.55,1,0.75,0.45]
relative_absolute_error
0.9946422428213828
relative_absolute_error
0.9945707480395353
relative_absolute_error
0.9947660476725456
relative_absolute_error
0.9944473584493813
relative_absolute_error
0.9945734822239153
relative_absolute_error
0.9944744324610538
relative_absolute_error
0.9946572733700796
relative_absolute_error
0.9947753241807127
relative_absolute_error
0.9944492518769078
relative_absolute_error
0.994632432058441
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
0.29839494313666703
root_mean_squared_error
0.2983737159180456
root_mean_squared_error
0.2984322210479572
root_mean_squared_error
0.29833650569235964
root_mean_squared_error
0.2983744367102329
root_mean_squared_error
0.2983445871828918
root_mean_squared_error
0.2983995675144475
root_mean_squared_error
0.29843508022461185
root_mean_squared_error
0.29833712114309835
root_mean_squared_error
0.2983923411175412
root_relative_squared_error
0.9946498104555574
root_relative_squared_error
0.9945790530601526
root_relative_squared_error
0.9947740701598579
root_relative_squared_error
0.9944550189745327
root_relative_squared_error
0.9945814557007769
root_relative_squared_error
0.9944819572763066
root_relative_squared_error
0.994665225048159
root_relative_squared_error
0.9947836007487068
root_relative_squared_error
0.9944570704769952
root_relative_squared_error
0.9946411370584712
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
7526.777924999999
usercpu_time_millis
7548.743614
usercpu_time_millis
7604.794874999996
usercpu_time_millis
7640.535733000004
usercpu_time_millis
7574.7692019999995
usercpu_time_millis
7656.221162000002
usercpu_time_millis
7593.084507999997
usercpu_time_millis
7753.408348
usercpu_time_millis
7788.775600000008
usercpu_time_millis
7802.011182000001
usercpu_time_millis_testing
12.847658000000095
usercpu_time_millis_testing
12.855522999998925
usercpu_time_millis_testing
12.968827999998211
usercpu_time_millis_testing
13.126487000000964
usercpu_time_millis_testing
12.952385999994931
usercpu_time_millis_testing
12.915216999999757
usercpu_time_millis_testing
13.056989999995494
usercpu_time_millis_testing
12.966425999998421
usercpu_time_millis_testing
13.136392000006936
usercpu_time_millis_testing
13.18409499999973
usercpu_time_millis_training
7513.930267
usercpu_time_millis_training
7535.888091000001
usercpu_time_millis_training
7591.826046999998
usercpu_time_millis_training
7627.409246000003
usercpu_time_millis_training
7561.816816000004
usercpu_time_millis_training
7643.305945000002
usercpu_time_millis_training
7580.027518000002
usercpu_time_millis_training
7740.441922000002
usercpu_time_millis_training
7775.639208000001
usercpu_time_millis_training
7788.8270870000015