10588205
32117
VAIBHAV JAISWAL
18
Supervised Classification
19165
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.svm._classes.SVC)(1)
8304104
Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
copy
true
19075
with_mean
true
19075
with_std
true
19075
add_indicator
false
19084
copy
true
19084
fill_value
null
19084
missing_values
NaN
19084
strategy
"mean"
19084
verbose
0
19084
memory
null
19156
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}]
19156
verbose
false
19156
memory
null
19165
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}]
19165
verbose
false
19165
C
1.0
19166
break_ties
false
19166
cache_size
200
19166
class_weight
null
19166
coef0
0.0
19166
decision_function_shape
"ovr"
19166
degree
3
19166
gamma
"scale"
19166
kernel
"rbf"
19166
max_iter
-1
19166
probability
false
19166
random_state
0
19166
shrinking
true
19166
tol
0.001
19166
verbose
false
19166
openml-python
Sklearn_1.0.2.
18
mfeat-morphological
https://www.openml.org/data/download/18/dataset_18_mfeat-morphological.arff
-1
22103977
description
https://api.openml.org/data/download/22103977/description.xml
-1
22103978
predictions
https://api.openml.org/data/download/22103978/predictions.arff
area_under_roc_curve
0.5125 [0.9925,0.430278,0.489167,0.534722,0.459722,0.444722,0.426667,0.446111,0.455,0.446111]
average_cost
0
f_measure
0.1245185646225954 [0.992443,0,0.066852,0.161039,0,0,0,0,0.0199,0.00495]
kappa
0.02499999999999999
kb_relative_information_score
0.08234780203301158
mean_absolute_error
0.17549999999999433
mean_prior_absolute_error
0.18000000000000554
weighted_recall
0.1225 [0.985,0,0.06,0.155,0,0,0,0,0.02,0.005]
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.12677432066631086 [1,0,0.075472,0.167568,0,0,0,0,0.019802,0.004902]
predictive_accuracy
0.1225
prior_entropy
3.3219280948872383
relative_absolute_error
0.9749999999999385
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.41892720131306144
root_relative_squared_error
1.39642400437685
total_cost
0
unweighted_recall
0.12249999999999998 [0.985,0,0.06,0.155,0,0,0,0,0.02,0.005]
area_under_roc_curve
0.5083333333333332 [0.975,0.438889,0.488889,0.533333,0.447222,0.408333,0.419444,0.444444,0.486111,0.441667]
area_under_roc_curve
0.5166666666666666 [1,0.427778,0.488889,0.561111,0.472222,0.45,0.416667,0.447222,0.463889,0.438889]
area_under_roc_curve
0.5083333333333334 [0.975,0.416667,0.45,0.552778,0.466667,0.461111,0.444444,0.444444,0.433333,0.438889]
area_under_roc_curve
0.5138888888888888 [1,0.436111,0.502778,0.527778,0.447222,0.447222,0.422222,0.447222,0.463889,0.444444]
area_under_roc_curve
0.5138888888888888 [1,0.444444,0.5,0.536111,0.463889,0.433333,0.419444,0.444444,0.455556,0.441667]
area_under_roc_curve
0.5083333333333333 [1,0.436111,0.525,0.463889,0.45,0.425,0.427778,0.444444,0.463889,0.447222]
area_under_roc_curve
0.5055555555555555 [0.975,0.422222,0.452778,0.527778,0.461111,0.475,0.436111,0.444444,0.419444,0.441667]
area_under_roc_curve
0.5083333333333333 [1,0.427778,0.455556,0.536111,0.463889,0.436111,0.419444,0.45,0.447222,0.447222]
area_under_roc_curve
0.5194444444444444 [1,0.436111,0.513889,0.55,0.463889,0.455556,0.422222,0.444444,0.436111,0.472222]
area_under_roc_curve
0.5222222222222223 [1,0.416667,0.513889,0.558333,0.461111,0.455556,0.438889,0.45,0.480556,0.447222]
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
0.11910772406128442 [0.974359,0,0.058824,0.157895,0,0,0,0,0,0]
f_measure
0.13158614731082152 [1,0,0.058824,0.210526,0,0,0,0,0.046512,0]
f_measure
0.11694809255784865 [0.974359,0,0,0.195122,0,0,0,0,0,0]
f_measure
0.12654771451483562 [1,0,0.068966,0.15,0,0,0,0,0.046512,0]
f_measure
0.1262162162162162 [1,0,0.1,0.162162,0,0,0,0,0,0]
f_measure
0.1146341463414634 [1,0,0.146341,0,0,0,0,0,0,0]
f_measure
0.11243589743589742 [0.974359,0,0,0.15,0,0,0,0,0,0]
f_measure
0.11621621621621621 [1,0,0,0.162162,0,0,0,0,0,0]
f_measure
0.13547619047619047 [1,0,0.114286,0.190476,0,0,0,0,0,0.05]
f_measure
0.14045203023926428 [1,0,0.114286,0.205128,0,0,0,0,0.085106,0]
kappa
0.016666666666666666
kappa
0.03333333333333333
kappa
0.016666666666666666
kappa
0.02777777777777777
kappa
0.02777777777777777
kappa
0.016666666666666666
kappa
0.011111111111111105
kappa
0.016666666666666666
kappa
0.03888888888888889
kappa
0.04444444444444445
kb_relative_information_score
0.07450462085380229
kb_relative_information_score
0.0901909832122132
kb_relative_information_score
0.0745046208538022
kb_relative_information_score
0.08496219575940947
kb_relative_information_score
0.08496219575940954
kb_relative_information_score
0.07450462085380237
kb_relative_information_score
0.06927583340099874
kb_relative_information_score
0.0745046208538022
kb_relative_information_score
0.09541977066501682
kb_relative_information_score
0.10064855811782034
mean_absolute_error
0.17699999999999982
mean_absolute_error
0.17399999999999977
mean_absolute_error
0.17699999999999982
mean_absolute_error
0.1749999999999998
mean_absolute_error
0.1749999999999998
mean_absolute_error
0.17699999999999982
mean_absolute_error
0.17799999999999983
mean_absolute_error
0.17699999999999982
mean_absolute_error
0.17299999999999977
mean_absolute_error
0.17199999999999974
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
0.1238095238095238 [1,0,0.071429,0.166667,0,0,0,0,0,0]
precision
0.1337129054520359 [1,0,0.071429,0.222222,0,0,0,0,0.043478,0]
precision
0.11904761904761905 [1,0,0,0.190476,0,0,0,0,0,0]
precision
0.13045893719806764 [1,0,0.111111,0.15,0,0,0,0,0.043478,0]
precision
0.12764705882352942 [1,0,0.1,0.176471,0,0,0,0,0,0]
precision
0.11428571428571428 [1,0,0.142857,0,0,0,0,0,0,0]
precision
0.115 [1,0,0,0.15,0,0,0,0,0,0]
precision
0.11764705882352942 [1,0,0,0.176471,0,0,0,0,0,0]
precision
0.13651515151515153 [1,0,0.133333,0.181818,0,0,0,0,0,0.05]
precision
0.1417933723196881 [1,0,0.133333,0.210526,0,0,0,0,0.074074,0]
predictive_accuracy
0.115
predictive_accuracy
0.13
predictive_accuracy
0.115
predictive_accuracy
0.125
predictive_accuracy
0.125
predictive_accuracy
0.115
predictive_accuracy
0.11
predictive_accuracy
0.115
predictive_accuracy
0.135
predictive_accuracy
0.14
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
relative_absolute_error
0.9833333333333334
relative_absolute_error
0.9666666666666665
relative_absolute_error
0.9833333333333334
relative_absolute_error
0.9722222222222221
relative_absolute_error
0.9722222222222221
relative_absolute_error
0.9833333333333334
relative_absolute_error
0.988888888888889
relative_absolute_error
0.9833333333333334
relative_absolute_error
0.9611111111111108
relative_absolute_error
0.9555555555555552
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
0.42071367935925236
root_mean_squared_error
0.4171330722922839
root_mean_squared_error
0.42071367935925236
root_mean_squared_error
0.4183300132670375
root_mean_squared_error
0.4183300132670375
root_mean_squared_error
0.42071367935925236
root_mean_squared_error
0.4219004621945795
root_mean_squared_error
0.42071367935925236
root_mean_squared_error
0.41593268686170815
root_mean_squared_error
0.4147288270665541
root_relative_squared_error
1.4023789311975088
root_relative_squared_error
1.3904435743076138
root_relative_squared_error
1.4023789311975088
root_relative_squared_error
1.3944333775567928
root_relative_squared_error
1.3944333775567928
root_relative_squared_error
1.4023789311975088
root_relative_squared_error
1.4063348739819324
root_relative_squared_error
1.4023789311975088
root_relative_squared_error
1.386442289539028
root_relative_squared_error
1.3824294235551813
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
unweighted_recall
0.11499999999999999 [0.95,0,0.05,0.15,0,0,0,0,0,0]
unweighted_recall
0.13 [1,0,0.05,0.2,0,0,0,0,0.05,0]
unweighted_recall
0.11499999999999999 [0.95,0,0,0.2,0,0,0,0,0,0]
unweighted_recall
0.125 [1,0,0.05,0.15,0,0,0,0,0.05,0]
unweighted_recall
0.125 [1,0,0.1,0.15,0,0,0,0,0,0]
unweighted_recall
0.11499999999999999 [1,0,0.15,0,0,0,0,0,0,0]
unweighted_recall
0.10999999999999999 [0.95,0,0,0.15,0,0,0,0,0,0]
unweighted_recall
0.11499999999999999 [1,0,0,0.15,0,0,0,0,0,0]
unweighted_recall
0.135 [1,0,0.1,0.2,0,0,0,0,0,0.05]
unweighted_recall
0.14 [1,0,0.1,0.2,0,0,0,0,0.1,0]
usercpu_time_millis
78.125
usercpu_time_millis
78.125
usercpu_time_millis
93.75
usercpu_time_millis
78.125
usercpu_time_millis
93.75
usercpu_time_millis
78.125
usercpu_time_millis
78.125
usercpu_time_millis
93.75
usercpu_time_millis
78.125
usercpu_time_millis
93.75
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
31.25
usercpu_time_millis_training
46.875
usercpu_time_millis_training
46.875
usercpu_time_millis_training
46.875
usercpu_time_millis_training
46.875
usercpu_time_millis_training
46.875
usercpu_time_millis_training
46.875
usercpu_time_millis_training
46.875
usercpu_time_millis_training
62.5
usercpu_time_millis_training
46.875
usercpu_time_millis_training
62.5
wall_clock_time_millis
78.95255088806152
wall_clock_time_millis
82.95083045959473
wall_clock_time_millis
86.95101737976074
wall_clock_time_millis
80.95097541809082
wall_clock_time_millis
84.94949340820312
wall_clock_time_millis
81.95185661315918
wall_clock_time_millis
79.95319366455078
wall_clock_time_millis
93.92189979553223
wall_clock_time_millis
81.95185661315918
wall_clock_time_millis
81.95114135742188
wall_clock_time_millis_testing
29.9837589263916
wall_clock_time_millis_testing
31.002283096313477
wall_clock_time_millis_testing
35.95924377441406
wall_clock_time_millis_testing
29.982566833496094
wall_clock_time_millis_testing
32.00197219848633
wall_clock_time_millis_testing
29.982566833496094
wall_clock_time_millis_testing
28.98406982421875
wall_clock_time_millis_testing
38.9559268951416
wall_clock_time_millis_testing
29.982566833496094
wall_clock_time_millis_testing
29.98185157775879
wall_clock_time_millis_training
48.96879196166992
wall_clock_time_millis_training
51.94854736328125
wall_clock_time_millis_training
50.99177360534668
wall_clock_time_millis_training
50.96840858459473
wall_clock_time_millis_training
52.9475212097168
wall_clock_time_millis_training
51.969289779663086
wall_clock_time_millis_training
50.96912384033203
wall_clock_time_millis_training
54.965972900390625
wall_clock_time_millis_training
51.969289779663086
wall_clock_time_millis_training
51.969289779663086
weighted_recall
0.115 [0.95,0,0.05,0.15,0,0,0,0,0,0]
weighted_recall
0.13 [1,0,0.05,0.2,0,0,0,0,0.05,0]
weighted_recall
0.115 [0.95,0,0,0.2,0,0,0,0,0,0]
weighted_recall
0.125 [1,0,0.05,0.15,0,0,0,0,0.05,0]
weighted_recall
0.125 [1,0,0.1,0.15,0,0,0,0,0,0]
weighted_recall
0.115 [1,0,0.15,0,0,0,0,0,0,0]
weighted_recall
0.11 [0.95,0,0,0.15,0,0,0,0,0,0]
weighted_recall
0.115 [1,0,0,0.15,0,0,0,0,0,0]
weighted_recall
0.135 [1,0,0.1,0.2,0,0,0,0,0,0.05]
weighted_recall
0.14 [1,0,0.1,0.2,0,0,0,0,0.1,0]