7262904
1
Jan van Rijn
59
Supervised Classification
predictive_accuracy
6952
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
5294800
axis
0
6947
categorical_features
[]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"mean"
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
true
6948
threshold
0.0
6949
C
5064.815143206371
6953
cache_size
200
6953
class_weight
null
6953
coef0
-0.19493834581415714
6953
decision_function_shape
null
6953
degree
5
6953
gamma
0.04665175207615768
6953
kernel
"sigmoid"
6953
max_iter
-1
6953
probability
true
6953
random_state
55943
6953
shrinking
false
6953
tol
0.00716029048157262
6953
verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
61
iris
https://www.openml.org/data/download/61/dataset_61_iris.arff
-1
15454057
description
https://api.openml.org/data/download/15454057/description.xml
-1
15454058
predictions
https://api.openml.org/data/download/15454058/predictions.arff
area_under_roc_curve
0.8280000000000001 [0.8642,0.6858,0.934]
average_cost
0
f_measure
0.6643850612922779 [0.680412,0.505051,0.807692]
kappa
0.49999999999999994
kb_relative_information_score
64.82088505763397
mean_absolute_error
0.28904299506220255
mean_prior_absolute_error
0.44444444444444337
number_of_instances
150 [50,50,50]
precision
0.663369839661633 [0.702128,0.510204,0.777778]
predictive_accuracy
0.6666666666666667
prior_entropy
1.584962500721156
recall
0.6666666666666666 [0.66,0.5,0.84]
relative_absolute_error
0.6503467388899573
root_mean_prior_squared_error
0.4714045207910311
root_mean_squared_error
0.3869220653629505
root_relative_squared_error
0.8207856486265415
total_cost
0
area_under_roc_curve
0.8600000000000001 [0.84,0.78,0.96]
area_under_roc_curve
0.7066666666666667 [0.82,0.42,0.88]
area_under_roc_curve
0.8733333333333334 [0.88,0.74,1]
area_under_roc_curve
0.8533333333333334 [0.82,0.74,1]
area_under_roc_curve
0.84 [0.96,0.66,0.9]
area_under_roc_curve
0.7533333333333334 [0.9,0.52,0.84]
area_under_roc_curve
0.8733333333333334 [0.86,0.8,0.96]
area_under_roc_curve
0.8200000000000001 [0.82,0.78,0.86]
area_under_roc_curve
0.9333333333333333 [0.96,0.9,0.94]
area_under_roc_curve
0.7866666666666667 [0.86,0.58,0.92]
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
0.8027065527065527 [0.75,0.769231,0.888889]
f_measure
0.4222222222222222 [0.6,0,0.666667]
f_measure
0.5611111111111111 [0.6,0.25,0.833333]
f_measure
0.6204906204906204 [0.666667,0.285714,0.909091]
f_measure
0.65007215007215 [0.571429,0.545455,0.833333]
f_measure
0.5303030303030303 [0.5,0.363636,0.727273]
f_measure
0.7407407407407407 [0.666667,0.666667,0.888889]
f_measure
0.7944444444444445 [0.833333,0.75,0.8]
f_measure
0.7388888888888889 [0.8,0.666667,0.75]
f_measure
0.6572390572390572 [0.727273,0.444444,0.8]
kappa
0.7000000000000001
kappa
0.2
kappa
0.39999999999999997
kappa
0.49999999999999994
kappa
0.49999999999999994
kappa
0.3
kappa
0.5999999999999999
kappa
0.7000000000000001
kappa
0.5999999999999999
kappa
0.49999999999999994
kb_relative_information_score
6.727441208625196
kb_relative_information_score
4.836475429958466
kb_relative_information_score
8.072499939981594
kb_relative_information_score
7.590904220548149
kb_relative_information_score
6.282271159023363
kb_relative_information_score
4.664169608267245
kb_relative_information_score
6.977287848714782
kb_relative_information_score
7.094322790139623
kb_relative_information_score
6.859405022049344
kb_relative_information_score
5.716107830326203
mean_absolute_error
0.2881695349697296
mean_absolute_error
0.33230996646170574
mean_absolute_error
0.23634131857020504
mean_absolute_error
0.24907200033017576
mean_absolute_error
0.296820606169471
mean_absolute_error
0.3401362086193413
mean_absolute_error
0.2733802821481733
mean_absolute_error
0.2769573463234802
mean_absolute_error
0.2838153132740706
mean_absolute_error
0.31342737375567303
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
precision
0.875 [1,0.625,1]
precision
0.3904761904761905 [0.6,0,0.571429]
precision
0.5492063492063491 [0.6,0.333333,0.714286]
precision
0.6349206349206349 [0.571429,0.5,0.833333]
precision
0.738095238095238 [1,0.5,0.714286]
precision
0.5555555555555555 [0.666667,0.333333,0.666667]
precision
0.7738095238095238 [0.75,0.571429,1]
precision
0.8380952380952381 [0.714286,1,0.8]
precision
0.7904761904761906 [0.8,0.571429,1]
precision
0.6555555555555554 [0.666667,0.5,0.8]
predictive_accuracy
0.8
predictive_accuracy
0.4666666666666666
predictive_accuracy
0.6
predictive_accuracy
0.6666666666666667
predictive_accuracy
0.6666666666666667
predictive_accuracy
0.5333333333333333
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.8
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.6666666666666667
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
recall
0.8 [0.6,1,0.8]
recall
0.4666666666666667 [0.6,0,0.8]
recall
0.6 [0.6,0.2,1]
recall
0.6666666666666666 [0.8,0.2,1]
recall
0.6666666666666666 [0.4,0.6,1]
recall
0.5333333333333333 [0.4,0.4,0.8]
recall
0.7333333333333333 [0.6,0.8,0.8]
recall
0.8 [1,0.6,0.8]
recall
0.7333333333333333 [0.8,0.8,0.6]
recall
0.6666666666666666 [0.8,0.4,0.8]
relative_absolute_error
0.6483814536818913
relative_absolute_error
0.7476974245388377
relative_absolute_error
0.5317679667829612
relative_absolute_error
0.5604120007428953
relative_absolute_error
0.6678463638813095
relative_absolute_error
0.7653064693935177
relative_absolute_error
0.6151056348333896
relative_absolute_error
0.6231540292278303
relative_absolute_error
0.6385844548666586
relative_absolute_error
0.7052115909502641
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_squared_error
0.36989134688857944
root_mean_squared_error
0.4333886627830707
root_mean_squared_error
0.3495909189264296
root_mean_squared_error
0.37258237944829015
root_mean_squared_error
0.39423113179236047
root_mean_squared_error
0.4293571388067734
root_mean_squared_error
0.3580452614231104
root_mean_squared_error
0.39140930650290945
root_mean_squared_error
0.35539729978177387
root_mean_squared_error
0.40489434669893803
root_relative_squared_error
0.7846580390614202
root_relative_squared_error
0.9193561870298376
root_relative_squared_error
0.7415943282423447
root_relative_squared_error
0.7903665811755158
root_relative_squared_error
0.8362905199356767
root_relative_squared_error
0.9108040332033696
root_relative_squared_error
0.7595286969719746
root_relative_squared_error
0.8303045245431933
root_relative_squared_error
0.7539115220732416
root_relative_squared_error
0.8589106146447482
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
15.946161999977448
usercpu_time_millis
13.87309999995523
usercpu_time_millis
12.61858000009397
usercpu_time_millis
12.312876000009965
usercpu_time_millis
11.172247999979845
usercpu_time_millis
11.24179299995376
usercpu_time_millis
11.046516999954292
usercpu_time_millis
11.106825999945613
usercpu_time_millis
11.468464999893513
usercpu_time_millis
11.363289000087207
usercpu_time_millis_testing
1.4830579999625115
usercpu_time_millis_testing
1.3954710000234627
usercpu_time_millis_testing
1.2660900000582842
usercpu_time_millis_testing
1.2182010000287846
usercpu_time_millis_testing
1.1683699999593955
usercpu_time_millis_testing
1.1729919999652338
usercpu_time_millis_testing
1.1553460000186533
usercpu_time_millis_testing
1.1565329999712048
usercpu_time_millis_testing
1.1631699999270495
usercpu_time_millis_testing
1.1630669999931342
usercpu_time_millis_training
14.463104000014937
usercpu_time_millis_training
12.477628999931767
usercpu_time_millis_training
11.352490000035687
usercpu_time_millis_training
11.09467499998118
usercpu_time_millis_training
10.00387800002045
usercpu_time_millis_training
10.068800999988525
usercpu_time_millis_training
9.891170999935639
usercpu_time_millis_training
9.950292999974408
usercpu_time_millis_training
10.305294999966463
usercpu_time_millis_training
10.200222000094072