8778556
4009
Vishal Chouskey
2079
Supervised Classification
7694
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(4)
6753873
categorical_features
[0, 2, 3, 4, 9]
7256
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7256
handle_unknown
"ignore"
7256
n_values
"auto"
7256
sparse
true
7256
bootstrap
true
7257
class_weight
null
7257
criterion
"gini"
7257
max_depth
null
7257
max_features
0.4977407038096979
7257
max_leaf_nodes
null
7257
min_impurity_split
1e-07
7257
min_samples_leaf
11
7257
min_samples_split
17
7257
min_weight_fraction_leaf
0.0
7257
n_estimators
10
7257
n_jobs
1
7257
oob_score
false
7257
random_state
60333
7257
verbose
0
7257
warm_start
false
7257
threshold
0.0
7345
axis
0
7660
categorical_features
[0, 2, 3, 4, 9]
7660
copy
true
7660
fill_empty
0
7660
missing_values
"NaN"
7660
strategy
"median"
7660
strategy_nominal
"most_frequent"
7660
verbose
0
7660
openml-pimp
openml-python
Sklearn_0.18.2.
188
eucalyptus
https://www.openml.org/data/download/3625/dataset_194_eucalyptus.arff
-1
18473333
description
https://api.openml.org/data/download/18473333/description.xml
-1
18473334
predictions
https://api.openml.org/data/download/18473334/predictions.arff
area_under_roc_curve
0.8987419541764838 [0.971468,0.913704,0.864128,0.852884,0.89514]
average_cost
0
f_measure
0.6591327732303752 [0.876081,0.596154,0.559387,0.668016,0.45679]
kappa
0.5649805931647738
kb_relative_information_score
368.2039655308378
mean_absolute_error
0.19555286394454266
mean_prior_absolute_error
0.313229771753801
number_of_instances
736 [180,107,130,214,105]
precision
0.6742164257225013 [0.91018,0.613861,0.557252,0.589286,0.649123]
predictive_accuracy
0.6644021739130435
prior_entropy
2.2628851981053564
recall
0.6644021739130435 [0.844444,0.579439,0.561538,0.771028,0.352381]
relative_absolute_error
0.6243112295795671
root_mean_prior_squared_error
0.39571712668407916
root_mean_squared_error
0.30419744435528107
root_relative_squared_error
0.7687244848468162
total_cost
0
area_under_roc_curve
0.9207668021076622 [0.998016,0.930736,0.91425,0.881402,0.867244]
area_under_roc_curve
0.9263082041654574 [0.981151,0.895382,0.931904,0.881402,0.946609]
area_under_roc_curve
0.8826008906695382 [0.994048,0.933622,0.833544,0.803322,0.864062]
area_under_roc_curve
0.913434377253537 [0.979167,0.875902,0.819672,0.918269,0.947656]
area_under_roc_curve
0.898176648432796 [0.942956,0.958874,0.833544,0.867133,0.903125]
area_under_roc_curve
0.9114446269927827 [0.928075,0.874459,0.92686,0.911713,0.901563]
area_under_roc_curve
0.861854085915067 [0.929293,0.846041,0.816667,0.81685,0.911111]
area_under_roc_curve
0.9028875970104429 [0.986869,0.947619,0.907692,0.833333,0.851906]
area_under_roc_curve
0.8955392989197672 [1,0.939683,0.857692,0.796703,0.917889]
area_under_roc_curve
0.8845578097456135 [0.960606,0.931746,0.783333,0.854396,0.894428]
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
0.6865792262851086 [0.944444,0.636364,0.583333,0.705882,0.4]
f_measure
0.7015921947510506 [0.83871,0.666667,0.64,0.716981,0.555556]
f_measure
0.6006484506484506 [0.914286,0.571429,0.5,0.615385,0.166667]
f_measure
0.7150707850707849 [0.857143,0.64,0.56,0.75,0.666667]
f_measure
0.6194563341622165 [0.823529,0.7,0.444444,0.615385,0.4]
f_measure
0.7230469758683081 [0.823529,0.526316,0.709677,0.791667,0.625]
f_measure
0.590852863634281 [0.848485,0.434783,0.461538,0.666667,0.307692]
f_measure
0.655396177298159 [0.918919,0.736842,0.666667,0.536585,0.363636]
f_measure
0.6645347190392802 [0.972973,0.6,0.583333,0.608696,0.421053]
f_measure
0.6090749120160883 [0.8,0.444444,0.416667,0.653846,0.588235]
kappa
0.6136687233032748
kappa
0.614856872486397
kappa
0.5048984468339306
kappa
0.633317602642756
kappa
0.5063140338336907
kappa
0.6504487482286254
kappa
0.4834065397755002
kappa
0.5627695256348826
kappa
0.5758896151053013
kappa
0.4993877051187853
kb_relative_information_score
39.674802432320874
kb_relative_information_score
39.02298957085832
kb_relative_information_score
36.331717382689284
kb_relative_information_score
38.79412551932291
kb_relative_information_score
35.7335860172886
kb_relative_information_score
37.89592168017799
kb_relative_information_score
32.514652391342445
kb_relative_information_score
35.509855050953234
kb_relative_information_score
38.224822239501
kb_relative_information_score
34.50149324638401
mean_absolute_error
0.1818673777495153
mean_absolute_error
0.19175209018128825
mean_absolute_error
0.19666323289228338
mean_absolute_error
0.18508432026147975
mean_absolute_error
0.2007946959465899
mean_absolute_error
0.19339501516527385
mean_absolute_error
0.2116724154138935
mean_absolute_error
0.20104216781352793
mean_absolute_error
0.19011422678910947
mean_absolute_error
0.20346858286905126
mean_prior_absolute_error
0.3137031768610717
mean_prior_absolute_error
0.3137031768610717
mean_prior_absolute_error
0.3129080497501551
mean_prior_absolute_error
0.3129080497501551
mean_prior_absolute_error
0.3129080497501551
mean_prior_absolute_error
0.3129080497501551
mean_prior_absolute_error
0.31330486384559936
mean_prior_absolute_error
0.3133196531898768
mean_prior_absolute_error
0.3133196531898768
mean_prior_absolute_error
0.3133196531898768
number_of_instances
74 [18,11,13,21,11]
number_of_instances
74 [18,11,13,21,11]
number_of_instances
74 [18,11,13,22,10]
number_of_instances
74 [18,11,13,22,10]
number_of_instances
74 [18,11,13,22,10]
number_of_instances
74 [18,11,13,22,10]
number_of_instances
73 [18,11,13,21,10]
number_of_instances
73 [18,10,13,21,11]
number_of_instances
73 [18,10,13,21,11]
number_of_instances
73 [18,10,13,21,11]
precision
0.7178746928746929 [0.944444,0.636364,0.636364,0.6,0.75]
precision
0.7390886422136422 [1,0.7,0.666667,0.59375,0.714286]
precision
0.6262321144674086 [0.941176,0.6,0.466667,0.533333,0.5]
precision
0.7430022944728828 [0.882353,0.571429,0.583333,0.692308,1]
precision
0.6433826683826684 [0.875,0.777778,0.428571,0.533333,0.6]
precision
0.7429689304689305 [0.875,0.625,0.611111,0.730769,0.833333]
precision
0.6294520547945205 [0.933333,0.416667,0.461538,0.566667,0.666667]
precision
0.6546600519563749 [0.894737,0.777778,0.642857,0.55,0.363636]
precision
0.6655528609818444 [0.947368,0.6,0.636364,0.56,0.5]
precision
0.6358276167093199 [0.823529,0.5,0.454545,0.548387,0.833333]
predictive_accuracy
0.7027027027027027
predictive_accuracy
0.7027027027027027
predictive_accuracy
0.6216216216216216
predictive_accuracy
0.7162162162162162
predictive_accuracy
0.6216216216216216
predictive_accuracy
0.7297297297297297
predictive_accuracy
0.6027397260273972
predictive_accuracy
0.6575342465753425
predictive_accuracy
0.6712328767123288
predictive_accuracy
0.6164383561643836
prior_entropy
2.2628851981053564
prior_entropy
2.2628851981053564
prior_entropy
2.2628851981053564
prior_entropy
2.2628851981053564
prior_entropy
2.2628851981053564
prior_entropy
2.2628851981053564
prior_entropy
2.2628851981053564
prior_entropy
2.2628851981053564
prior_entropy
2.2628851981053564
prior_entropy
2.2628851981053564
recall
0.7027027027027027 [0.944444,0.636364,0.538462,0.857143,0.272727]
recall
0.7027027027027027 [0.722222,0.636364,0.615385,0.904762,0.454545]
recall
0.6216216216216216 [0.888889,0.545455,0.538462,0.727273,0.1]
recall
0.7162162162162162 [0.833333,0.727273,0.538462,0.818182,0.5]
recall
0.6216216216216216 [0.777778,0.636364,0.461538,0.727273,0.3]
recall
0.7297297297297297 [0.777778,0.454545,0.846154,0.863636,0.5]
recall
0.6027397260273972 [0.777778,0.454545,0.461538,0.809524,0.2]
recall
0.6575342465753424 [0.944444,0.7,0.692308,0.52381,0.363636]
recall
0.6712328767123288 [1,0.6,0.538462,0.666667,0.363636]
recall
0.6164383561643836 [0.777778,0.4,0.384615,0.809524,0.454545]
relative_absolute_error
0.5797435001114385
relative_absolute_error
0.6112532620803156
relative_absolute_error
0.6285016734127208
relative_absolute_error
0.5914974715711608
relative_absolute_error
0.6417051146715997
relative_absolute_error
0.6180570148952456
relative_absolute_error
0.6756116480790045
relative_absolute_error
0.6416519543754668
relative_absolute_error
0.6067740240791635
relative_absolute_error
0.6493961703249619
root_mean_prior_squared_error
0.39631483628344655
root_mean_prior_squared_error
0.39631483628344655
root_mean_prior_squared_error
0.395310412647401
root_mean_prior_squared_error
0.395310412647401
root_mean_prior_squared_error
0.395310412647401
root_mean_prior_squared_error
0.395310412647401
root_mean_prior_squared_error
0.3958119963352585
root_mean_prior_squared_error
0.3958306781784102
root_mean_prior_squared_error
0.3958306781784102
root_mean_prior_squared_error
0.3958306781784102
root_mean_squared_error
0.2895478317895057
root_mean_squared_error
0.29325556597181357
root_mean_squared_error
0.3142302278505194
root_mean_squared_error
0.2923296653095569
root_mean_squared_error
0.3056418119581958
root_mean_squared_error
0.30146790701848286
root_mean_squared_error
0.32452940752133097
root_mean_squared_error
0.30729980334799273
root_mean_squared_error
0.29941531976884744
root_mean_squared_error
0.31281979183614833
root_relative_squared_error
0.7306005359396122
root_relative_squared_error
0.7399560630177255
root_relative_squared_error
0.7948948922091726
root_relative_squared_error
0.739493967163222
root_relative_squared_error
0.7731691404516947
root_relative_squared_error
0.7626105899906527
root_relative_squared_error
0.819907962684511
root_relative_squared_error
0.7763415528128556
root_relative_squared_error
0.7564227238442947
root_relative_squared_error
0.7902868804301042
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
58.945628000060424
usercpu_time_millis
54.417628000010154
usercpu_time_millis
54.646510999987186
usercpu_time_millis
52.60320399997909
usercpu_time_millis
54.11467100009304
usercpu_time_millis
54.23132899989014
usercpu_time_millis
53.076560000022255
usercpu_time_millis
53.36425500001951
usercpu_time_millis
50.14935500003048
usercpu_time_millis
57.86891400009608
usercpu_time_millis_testing
4.995460000031926
usercpu_time_millis_testing
7.025795999993534
usercpu_time_millis_testing
5.61659499999223
usercpu_time_millis_testing
6.362145000025521
usercpu_time_millis_testing
5.625790000067354
usercpu_time_millis_testing
5.3850869999223505
usercpu_time_millis_testing
5.17053200007922
usercpu_time_millis_testing
5.318090000059783
usercpu_time_millis_testing
6.2326940000048126
usercpu_time_millis_testing
5.386908000104995
usercpu_time_millis_training
53.9501680000285
usercpu_time_millis_training
47.39183200001662
usercpu_time_millis_training
49.029915999994955
usercpu_time_millis_training
46.241058999953566
usercpu_time_millis_training
48.488881000025685
usercpu_time_millis_training
48.84624199996779
usercpu_time_millis_training
47.906027999943035
usercpu_time_millis_training
48.04616499995973
usercpu_time_millis_training
43.91666100002567
usercpu_time_millis_training
52.48200599999109