6015672
1
Jan van Rijn
14
Supervised Classification
6969
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1)
4050361
bootstrap
false
6902
class_weight
null
6902
criterion
"gini"
6902
max_depth
null
6902
max_features
0.4148942383760593
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
11
6902
min_samples_split
11
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
23398
6902
verbose
0
6902
warm_start
false
6902
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
openml-pimp
openml-python
Sklearn_0.18.1.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
12954475
description
https://api.openml.org/data/download/12954475/description.xml
-1
12954476
predictions
https://api.openml.org/data/download/12954476/predictions.arff
area_under_roc_curve
0.981796388888889 [0.999983,0.975117,0.995989,0.990961,0.975003,0.993944,0.948164,0.991931,0.997992,0.948881]
average_cost
0
f_measure
0.821790542244556 [0.990099,0.767677,0.942928,0.878788,0.779841,0.893827,0.552239,0.876777,0.956522,0.579208]
kappa
0.8022222222222222
kb_relative_information_score
1555.8282413545758
mean_absolute_error
0.06383547242327668
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8228478645178888 [0.980392,0.77551,0.935961,0.887755,0.830508,0.882927,0.549505,0.833333,0.979058,0.573529]
predictive_accuracy
0.8220000000000001
prior_entropy
3.321928094887362
recall
0.822 [1,0.76,0.95,0.87,0.735,0.905,0.555,0.925,0.935,0.585]
relative_absolute_error
0.35464151346263734
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1615444958385413
root_relative_squared_error
0.5384816527951295
total_cost
0
area_under_roc_curve
0.9811666666666667 [1,0.977778,0.993333,0.994722,0.970278,1,0.929722,0.991389,0.997222,0.957222]
area_under_roc_curve
0.9799722222222222 [0.999722,0.979167,0.995278,0.986389,0.963889,0.989722,0.950833,0.988611,0.996667,0.949444]
area_under_roc_curve
0.97775 [1,0.978889,0.999722,0.979167,0.978333,0.993889,0.908056,0.992222,1,0.947222]
area_under_roc_curve
0.9875 [1,0.980278,0.993333,0.994722,0.989722,0.995833,0.978333,0.995278,0.999722,0.947778]
area_under_roc_curve
0.9848055555555554 [1,0.968611,0.998611,0.994722,0.993889,0.995,0.960833,0.990556,1,0.945833]
area_under_roc_curve
0.9856111111111112 [1,0.976944,1,0.987778,0.994722,0.992778,0.955833,0.994444,0.998889,0.954722]
area_under_roc_curve
0.9828055555555555 [1,0.974167,0.995278,0.995833,0.981667,0.985,0.970278,0.988611,1,0.937222]
area_under_roc_curve
0.9826111111111111 [1,0.970833,0.998333,0.989722,0.958333,0.9975,0.958611,0.994722,0.9925,0.965556]
area_under_roc_curve
0.9811944444444444 [1,0.972778,0.999722,0.998333,0.971667,0.991667,0.94,0.994167,1,0.943611]
area_under_roc_curve
0.9765 [1,0.974444,0.990833,0.986111,0.956389,0.997778,0.927222,0.993333,0.996111,0.942778]
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
0.8244352364378038 [0.97561,0.772727,0.926829,0.918919,0.780488,0.974359,0.457143,0.9,0.947368,0.590909]
f_measure
0.7992241145923564 [0.97561,0.769231,0.9,0.871795,0.685714,0.790698,0.578947,0.809524,0.974359,0.636364]
f_measure
0.7915442917035597 [1,0.714286,0.947368,0.736842,0.736842,0.878049,0.45,0.871795,0.97561,0.604651]
f_measure
0.8347487539651341 [1,0.756757,0.974359,0.883721,0.73913,0.9,0.648649,0.820513,0.974359,0.65]
f_measure
0.8151372562295149 [1,0.722222,0.974359,0.904762,0.727273,0.909091,0.571429,0.826087,0.97561,0.540541]
f_measure
0.850732538401285 [1,0.820513,0.952381,0.85,0.871795,0.878049,0.682927,0.930233,0.95,0.571429]
f_measure
0.8496013272136507 [1,0.809524,0.947368,0.9,0.833333,0.878049,0.7,0.863636,1,0.564103]
f_measure
0.8325833474279604 [1,0.731707,0.97561,0.871795,0.777778,0.894737,0.590909,0.930233,0.918919,0.634146]
f_measure
0.8369962769962771 [1,0.8,0.952381,0.952381,0.810811,0.923077,0.444444,0.909091,1,0.577778]
f_measure
0.7797036225080954 [0.952381,0.780488,0.883721,0.888889,0.833333,0.923077,0.408163,0.904762,0.833333,0.388889]
kappa
0.8055555555555555
kappa
0.7777777777777778
kappa
0.7666666666666667
kappa
0.8166666666666667
kappa
0.7999999999999999
kappa
0.8388888888888889
kappa
0.8333333333333333
kappa
0.8111111111111111
kappa
0.8222222222222222
kappa
0.75
kb_relative_information_score
154.67454372781137
kb_relative_information_score
152.9430214376083
kb_relative_information_score
152.82884870114356
kb_relative_information_score
158.58367072245827
kb_relative_information_score
155.69310653230525
kb_relative_information_score
157.82026709712724
kb_relative_information_score
155.87305818956776
kb_relative_information_score
156.13811354781714
kb_relative_information_score
158.8704698354967
kb_relative_information_score
152.4031415632396
mean_absolute_error
0.06515979822202761
mean_absolute_error
0.06578501063780004
mean_absolute_error
0.06559065698598875
mean_absolute_error
0.06136005848735072
mean_absolute_error
0.06463847168745343
mean_absolute_error
0.0617605785034129
mean_absolute_error
0.06432150648426883
mean_absolute_error
0.06330476224226932
mean_absolute_error
0.0605388319972953
mean_absolute_error
0.06589504898490024
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
0.8302380952380953 [0.952381,0.708333,0.904762,1,0.761905,1,0.533333,0.9,1,0.541667]
precision
0.8042893630651067 [0.952381,0.789474,0.9,0.894737,0.8,0.73913,0.611111,0.772727,1,0.583333]
precision
0.7956851780307157 [1,0.681818,1,0.777778,0.777778,0.857143,0.45,0.894737,0.952381,0.565217]
precision
0.8401450138231671 [1,0.823529,1,0.826087,0.653846,0.9,0.705882,0.842105,1,0.65]
precision
0.8249386642768997 [1,0.8125,1,0.863636,0.923077,0.833333,0.545455,0.730769,0.952381,0.588235]
precision
0.8505974422221562 [1,0.842105,0.909091,0.85,0.894737,0.857143,0.666667,0.869565,0.95,0.666667]
precision
0.8537984164957848 [1,0.772727,1,0.9,0.9375,0.857143,0.7,0.791667,1,0.578947]
precision
0.8411127456321964 [1,0.714286,0.952381,0.894737,0.875,0.944444,0.541667,0.869565,1,0.619048]
precision
0.8434569847077588 [1,0.933333,0.909091,0.909091,0.882353,0.947368,0.5,0.833333,1,0.52]
precision
0.7965414998413302 [0.909091,0.761905,0.826087,1,0.9375,0.947368,0.344828,0.863636,0.9375,0.4375]
predictive_accuracy
0.825
predictive_accuracy
0.8
predictive_accuracy
0.79
predictive_accuracy
0.835
predictive_accuracy
0.82
predictive_accuracy
0.855
predictive_accuracy
0.85
predictive_accuracy
0.83
predictive_accuracy
0.84
predictive_accuracy
0.775
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
0.825 [1,0.85,0.95,0.85,0.8,0.95,0.4,0.9,0.9,0.65]
recall
0.8 [1,0.75,0.9,0.85,0.6,0.85,0.55,0.85,0.95,0.7]
recall
0.79 [1,0.75,0.9,0.7,0.7,0.9,0.45,0.85,1,0.65]
recall
0.835 [1,0.7,0.95,0.95,0.85,0.9,0.6,0.8,0.95,0.65]
recall
0.82 [1,0.65,0.95,0.95,0.6,1,0.6,0.95,1,0.5]
recall
0.855 [1,0.8,1,0.85,0.85,0.9,0.7,1,0.95,0.5]
recall
0.85 [1,0.85,0.9,0.9,0.75,0.9,0.7,0.95,1,0.55]
recall
0.83 [1,0.75,1,0.85,0.7,0.85,0.65,1,0.85,0.65]
recall
0.84 [1,0.7,1,1,0.75,0.9,0.4,1,1,0.65]
recall
0.775 [1,0.8,0.95,0.8,0.75,0.9,0.5,0.95,0.75,0.35]
relative_absolute_error
0.3619988790112649
relative_absolute_error
0.3654722813211117
relative_absolute_error
0.36439253881104894
relative_absolute_error
0.3408892138186155
relative_absolute_error
0.3591026204858528
relative_absolute_error
0.34311432501896094
relative_absolute_error
0.3573417026903828
relative_absolute_error
0.3516931235681633
relative_absolute_error
0.33632684442941874
relative_absolute_error
0.36608360547166846
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
0.16388591473427122
root_mean_squared_error
0.1695117638376244
root_mean_squared_error
0.16914506951326969
root_mean_squared_error
0.15380109943339854
root_mean_squared_error
0.1613946631783318
root_mean_squared_error
0.15519412748877695
root_mean_squared_error
0.16076838914567682
root_mean_squared_error
0.15937368053455864
root_mean_squared_error
0.15380631419865134
root_mean_squared_error
0.16754789079433638
root_relative_squared_error
0.5462863824475711
root_relative_squared_error
0.5650392127920817
root_relative_squared_error
0.563816898377566
root_relative_squared_error
0.5126703314446621
root_relative_squared_error
0.5379822105944396
root_relative_squared_error
0.5173137582959234
root_relative_squared_error
0.5358946304855897
root_relative_squared_error
0.5312456017818624
root_relative_squared_error
0.5126877139955047
root_relative_squared_error
0.5584929693144549
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
6864.152132000016
usercpu_time_millis
6863.820557999987
usercpu_time_millis
6867.952164999962
usercpu_time_millis
6942.835053999943
usercpu_time_millis
6696.650148000061
usercpu_time_millis
7491.8081980000015
usercpu_time_millis
6895.755688000066
usercpu_time_millis
6757.194449000053
usercpu_time_millis
6769.700432000036
usercpu_time_millis
6841.288703999965
usercpu_time_millis_testing
21.93622099997583
usercpu_time_millis_testing
21.965344999955505
usercpu_time_millis_testing
22.01508999996804
usercpu_time_millis_testing
23.66005299995777
usercpu_time_millis_testing
21.66470100002016
usercpu_time_millis_testing
22.973856000021442
usercpu_time_millis_testing
24.951447000034932
usercpu_time_millis_testing
22.170159000040712
usercpu_time_millis_testing
22.822708000035163
usercpu_time_millis_testing
21.928559999992103
usercpu_time_millis_training
6842.215911000039
usercpu_time_millis_training
6841.855213000031
usercpu_time_millis_training
6845.937074999994
usercpu_time_millis_training
6919.175000999985
usercpu_time_millis_training
6674.98544700004
usercpu_time_millis_training
7468.83434199998
usercpu_time_millis_training
6870.804241000031
usercpu_time_millis_training
6735.024290000012
usercpu_time_millis_training
6746.877724000001
usercpu_time_millis_training
6819.360143999973