8917019
1935
Hilde Weerts
14
Supervised Classification
8315
sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier)(1)
6854021
categorical_features
[]
7644
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7644
handle_unknown
"ignore"
7644
n_values
"auto"
7644
sparse
true
7644
threshold
0.0
7645
bootstrap
true
7684
class_weight
null
7684
criterion
"entropy"
7684
max_depth
null
7684
max_features
0.022512832253563708
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
19
7684
min_samples_split
4
7684
min_weight_fraction_leaf
0.0
7684
n_estimators
500
7684
n_jobs
1
7684
oob_score
false
7684
random_state
1
7684
verbose
0
7684
warm_start
false
7684
memory
null
8315
axis
0
8316
categorical_features
[]
8316
copy
true
8316
fill_empty
0
8316
missing_values
"NaN"
8316
strategy
"mean"
8316
strategy_nominal
"most_frequent"
8316
verbose
0
8316
openml-python
Sklearn_0.19.1.
study_98
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
18749668
description
https://www.openml.org/data/download/18749668/description.xml
-1
18749669
predictions
https://www.openml.org/data/download/18749669/predictions.arff
area_under_roc_curve
0.960935 [0.999772,0.928186,0.990011,0.9745,0.934381,0.984119,0.912394,0.986489,0.985958,0.913539]
average_cost
0
f_measure
0.7629991387472757 [0.989899,0.689119,0.901478,0.829016,0.721311,0.829268,0.449315,0.834467,0.918033,0.468085]
kappa
0.745
kb_relative_information_score
788.2410483898509
mean_absolute_error
0.14463686503611892
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7627710272473837 [1,0.715054,0.88835,0.860215,0.795181,0.74502,0.49697,0.763485,0.863436,0.5]
predictive_accuracy
0.7705
prior_entropy
3.321928094887362
recall
0.7705 [0.98,0.665,0.915,0.8,0.66,0.935,0.41,0.92,0.98,0.44]
relative_absolute_error
0.8035381390895248
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.2489173062881866
root_relative_squared_error
0.8297243542939426
total_cost
0
area_under_roc_curve
0.9614444444444444 [1,0.935,0.985833,0.969722,0.945278,0.999167,0.848056,0.986944,0.998056,0.946389]
area_under_roc_curve
0.9610277777777777 [1,0.945278,0.985278,0.98,0.898611,0.989722,0.929722,0.988889,0.969722,0.923056]
area_under_roc_curve
0.9567777777777777 [0.998333,0.919444,0.993889,0.959722,0.930833,0.985556,0.916389,0.958611,0.999444,0.905556]
area_under_roc_curve
0.9677222222222223 [0.999722,0.917222,0.998333,0.995278,0.992222,0.990278,0.9225,0.983611,0.963056,0.915]
area_under_roc_curve
0.9564166666666668 [1,0.885278,0.985556,0.949167,0.929444,0.979444,0.917778,0.988889,0.999167,0.929444]
area_under_roc_curve
0.9606944444444444 [0.999722,0.925833,0.998611,0.944722,0.940833,0.971389,0.922222,0.996389,1,0.907222]
area_under_roc_curve
0.9619722222222222 [0.999722,0.928333,0.991389,0.9875,0.920833,0.96,0.941111,0.988889,0.998333,0.903611]
area_under_roc_curve
0.9709444444444444 [1,0.944444,0.996111,0.994722,0.928056,0.993889,0.929722,0.990556,0.996389,0.935556]
area_under_roc_curve
0.9658611111111111 [1,0.921667,0.999167,0.983056,0.964167,0.9675,0.926389,0.995556,0.999167,0.901944]
area_under_roc_curve
0.9508333333333334 [1,0.961111,0.965833,0.980278,0.908889,0.996667,0.880556,0.991389,0.941944,0.881667]
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
0.6913314941243723 [0.974359,0.731707,0.8,0.756757,0.769231,0.888889,0.2,0.789474,0.869565,0.133333]
f_measure
0.7787458159334132 [1,0.702703,0.926829,0.9,0.705882,0.909091,0.473684,0.772727,0.883721,0.512821]
f_measure
0.7667230515832207 [0.974359,0.651163,0.9,0.769231,0.769231,0.73913,0.484848,0.829268,1,0.55]
f_measure
0.7794158685847493 [0.974359,0.615385,0.871795,0.837209,0.8,0.863636,0.571429,0.829268,0.904762,0.526316]
f_measure
0.7163723568578798 [1,0.529412,0.894737,0.8,0.571429,0.72,0.457143,0.816327,0.930233,0.444444]
f_measure
0.8046429372846683 [1,0.823529,0.97561,0.833333,0.666667,0.808511,0.555556,0.888889,0.930233,0.564103]
f_measure
0.7867760488904199 [1,0.666667,0.894737,0.878049,0.742857,0.818182,0.615385,0.851064,0.930233,0.470588]
f_measure
0.8067892699615645 [0.974359,0.820513,0.952381,0.842105,0.764706,0.818182,0.564103,0.837209,0.930233,0.564103]
f_measure
0.7908449371228459 [1,0.717949,1,0.894737,0.685714,0.844444,0.387097,0.869565,0.97561,0.533333]
f_measure
0.700653927534309 [1,0.634146,0.809524,0.764706,0.722222,0.904762,0.205128,0.851064,0.837209,0.277778]
kappa
0.6777777777777777
kappa
0.7611111111111112
kappa
0.7444444444444445
kappa
0.7611111111111112
kappa
0.7
kappa
0.788888888888889
kappa
0.7722222222222223
kappa
0.788888888888889
kappa
0.7777777777777778
kappa
0.6777777777777777
kb_relative_information_score
76.62660067631491
kb_relative_information_score
82.1899590359024
kb_relative_information_score
76.37463570072968
kb_relative_information_score
78.24109253003688
kb_relative_information_score
77.64285429977019
kb_relative_information_score
80.40788121561594
kb_relative_information_score
80.21600852044463
kb_relative_information_score
79.87252710131993
kb_relative_information_score
80.0953790400003
kb_relative_information_score
76.57411026971705
mean_absolute_error
0.14599281628606112
mean_absolute_error
0.14253653320061171
mean_absolute_error
0.14632484442456847
mean_absolute_error
0.14535644977366555
mean_absolute_error
0.14472472809794376
mean_absolute_error
0.1433655733078276
mean_absolute_error
0.1435243627644757
mean_absolute_error
0.1452787594443904
mean_absolute_error
0.14362616567588918
mean_absolute_error
0.14563841738575384
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
0.6849852912825048 [1,0.714286,0.72,0.823529,0.789474,0.8,0.2,0.833333,0.769231,0.2]
precision
0.7820680056919792 [1,0.764706,0.904762,0.9,0.857143,0.833333,0.5,0.708333,0.826087,0.526316]
precision
0.7716397599349546 [1,0.608696,0.9,0.789474,0.789474,0.653846,0.615385,0.809524,1,0.55]
precision
0.779597354717492 [1,0.631579,0.894737,0.782609,0.8,0.791667,0.666667,0.809524,0.863636,0.555556]
precision
0.7246521977106685 [1,0.642857,0.944444,0.8,0.666667,0.6,0.533333,0.689655,0.869565,0.5]
precision
0.8151307768212803 [1,1,0.952381,0.9375,0.684211,0.703704,0.625,0.8,0.869565,0.578947]
precision
0.7915777971498795 [1,0.684211,0.944444,0.857143,0.866667,0.75,0.631579,0.740741,0.869565,0.571429]
precision
0.8128725139594704 [1,0.842105,0.909091,0.888889,0.928571,0.75,0.578947,0.782609,0.869565,0.578947]
precision
0.7988352816773869 [1,0.736842,1,0.944444,0.8,0.76,0.545455,0.769231,0.952381,0.48]
precision
0.7042858436165073 [1,0.619048,0.772727,0.928571,0.8125,0.863636,0.210526,0.740741,0.782609,0.3125]
predictive_accuracy
0.71
predictive_accuracy
0.785
predictive_accuracy
0.77
predictive_accuracy
0.785
predictive_accuracy
0.73
predictive_accuracy
0.81
predictive_accuracy
0.795
predictive_accuracy
0.81
predictive_accuracy
0.8
predictive_accuracy
0.71
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
0.71 [0.95,0.75,0.9,0.7,0.75,1,0.2,0.75,1,0.1]
recall
0.785 [1,0.65,0.95,0.9,0.6,1,0.45,0.85,0.95,0.5]
recall
0.77 [0.95,0.7,0.9,0.75,0.75,0.85,0.4,0.85,1,0.55]
recall
0.785 [0.95,0.6,0.85,0.9,0.8,0.95,0.5,0.85,0.95,0.5]
recall
0.73 [1,0.45,0.85,0.8,0.5,0.9,0.4,1,1,0.4]
recall
0.81 [1,0.7,1,0.75,0.65,0.95,0.5,1,1,0.55]
recall
0.795 [1,0.65,0.85,0.9,0.65,0.9,0.6,1,1,0.4]
recall
0.81 [0.95,0.8,1,0.8,0.65,0.9,0.55,0.9,1,0.55]
recall
0.8 [1,0.7,1,0.85,0.6,0.95,0.3,1,1,0.6]
recall
0.71 [1,0.65,0.85,0.65,0.65,0.95,0.2,1,0.9,0.25]
relative_absolute_error
0.8110712015892294
relative_absolute_error
0.7918696288922882
relative_absolute_error
0.8129158023587146
relative_absolute_error
0.8075358320759206
relative_absolute_error
0.8040262672107995
relative_absolute_error
0.7964754072657096
relative_absolute_error
0.7973575709137548
relative_absolute_error
0.807104219135503
relative_absolute_error
0.7979231426438297
relative_absolute_error
0.8091023188097445
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
0.25109586422661434
root_mean_squared_error
0.24596163985445754
root_mean_squared_error
0.2511246546920064
root_mean_squared_error
0.24980258668473998
root_mean_squared_error
0.24949536964965335
root_mean_squared_error
0.24696192767435923
root_mean_squared_error
0.24756819988391962
root_mean_squared_error
0.24887133079329363
root_mean_squared_error
0.24750003795557604
root_mean_squared_error
0.25073035916626785
root_relative_squared_error
0.8369862140887149
root_relative_squared_error
0.8198721328481924
root_relative_squared_error
0.8370821823066885
root_relative_squared_error
0.8326752889491337
root_relative_squared_error
0.8316512321655116
root_relative_squared_error
0.823206425581198
root_relative_squared_error
0.8252273329463992
root_relative_squared_error
0.8295711026443127
root_relative_squared_error
0.8250001265185872
root_relative_squared_error
0.8357678638875601
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
6477.75524899771
usercpu_time_millis
6328.876963001676
usercpu_time_millis
6358.029693998105
usercpu_time_millis
6353.861914998561
usercpu_time_millis
6401.882534002652
usercpu_time_millis
6432.92683600157
usercpu_time_millis
6421.997654993902
usercpu_time_millis
6688.071880998905
usercpu_time_millis
6436.966496999958
usercpu_time_millis
6350.227118004113
usercpu_time_millis_testing
91.27475599962054
usercpu_time_millis_testing
88.29979399888543
usercpu_time_millis_testing
90.16989899828332
usercpu_time_millis_testing
92.71288899617502
usercpu_time_millis_testing
93.49740600009682
usercpu_time_millis_testing
130.21952700364636
usercpu_time_millis_testing
100.4704659935669
usercpu_time_millis_testing
94.85512600076618
usercpu_time_millis_testing
93.1899360002717
usercpu_time_millis_testing
90.93421400029911
usercpu_time_millis_training
6386.480492998089
usercpu_time_millis_training
6240.5771690027905
usercpu_time_millis_training
6267.859794999822
usercpu_time_millis_training
6261.149026002386
usercpu_time_millis_training
6308.385128002556
usercpu_time_millis_training
6302.707308997924
usercpu_time_millis_training
6321.527189000335
usercpu_time_millis_training
6593.216754998139
usercpu_time_millis_training
6343.776560999686
usercpu_time_millis_training
6259.292904003814