10588225
32117
VAIBHAV JAISWAL
18
Supervised Classification
19168
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._weight_boosting.AdaBoostClassifier)(1)
8304106
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
19168
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"}}]
19168
verbose
false
19168
algorithm
"SAMME.R"
19169
base_estimator
null
19169
learning_rate
1.0
19169
n_estimators
50
19169
random_state
0
19169
openml-python
Sklearn_1.0.2.
18
mfeat-morphological
https://www.openml.org/data/download/18/dataset_18_mfeat-morphological.arff
-1
22104017
description
https://api.openml.org/data/download/22104017/description.xml
-1
22104018
predictions
https://api.openml.org/data/download/22104018/predictions.arff
area_under_roc_curve
0.4836174999999999 [0.788428,0.260599,0.707117,0.704401,0.70804,0.239818,0.181267,0.270528,0.772322,0.203656]
average_cost
0
kappa
-0.07944444444444446
kb_relative_information_score
0.08282800904420645
mean_absolute_error
0.18105000943451405
mean_prior_absolute_error
0.18000000000000554
weighted_recall
0.0285 [0,0,0.095,0.095,0.09,0,0,0,0.005,0]
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
predictive_accuracy
0.0285
prior_entropy
3.3219280948872383
relative_absolute_error
1.0058333857472692
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.31494124993320893
root_relative_squared_error
1.0498041664440136
total_cost
0
unweighted_recall
0.028500000000000004 [0,0,0.095,0.095,0.09,0,0,0,0.005,0]
area_under_roc_curve
0.4951666666666666 [0.827917,0.272222,0.672778,0.705139,0.7,0.24875,0.167639,0.272222,0.844444,0.240556]
area_under_roc_curve
0.4946111111111111 [0.805556,0.261111,0.738889,0.711111,0.705556,0.244444,0.173889,0.261111,0.838889,0.205556]
area_under_roc_curve
0.5005555555555555 [0.808472,0.283333,0.699583,0.716667,0.711111,0.288889,0.18625,0.283333,0.841667,0.18625]
area_under_roc_curve
0.4818333333333334 [0.794444,0.255556,0.678611,0.722361,0.705556,0.195278,0.166667,0.255556,0.833333,0.210972]
area_under_roc_curve
0.4888888888888889 [0.811111,0.266667,0.711111,0.716667,0.711111,0.238889,0.166667,0.266667,0.833333,0.166667]
area_under_roc_curve
0.48611111111111105 [0.805556,0.263889,0.708333,0.736111,0.708333,0.208333,0.166667,0.263889,0.833333,0.166667]
area_under_roc_curve
0.36238888888888887 [0.136944,0.296944,0.734861,0.557083,0.744167,0.225,0.285,0.291667,0.115278,0.236944]
area_under_roc_curve
0.48333333333333334 [0.8,0.261111,0.705556,0.738889,0.705556,0.194444,0.166667,0.261111,0.833333,0.166667]
area_under_roc_curve
0.49005555555555547 [0.813889,0.266667,0.711111,0.716389,0.694861,0.238889,0.163889,0.266667,0.836111,0.192083]
area_under_roc_curve
0.49069444444444443 [0.813889,0.280139,0.713889,0.725,0.713889,0.22,0.163889,0.263889,0.836111,0.17625]
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
kappa
-0.11111111111111112
kappa
-0.11111111111111112
kappa
-0.00555555555555556
kappa
-0.11111111111111112
kappa
-0.11111111111111112
kappa
-0.11111111111111112
kappa
-0.00555555555555556
kappa
-0.11111111111111112
kappa
-0.00555555555555556
kappa
-0.11111111111111112
kb_relative_information_score
0.09346926985975447
kb_relative_information_score
0.09445008114724601
kb_relative_information_score
0.09216462232328812
kb_relative_information_score
0.08919196444655375
kb_relative_information_score
0.09031948445209892
kb_relative_information_score
0.08995812018532133
kb_relative_information_score
0.007540795608439295
kb_relative_information_score
0.08940138148941022
kb_relative_information_score
0.09061842968230764
kb_relative_information_score
0.0911659412476162
mean_absolute_error
0.17960298880343956
mean_absolute_error
0.17959227855328613
mean_absolute_error
0.1796221754414827
mean_absolute_error
0.18036628123700157
mean_absolute_error
0.1800610972154811
mean_absolute_error
0.18016570171353624
mean_absolute_error
0.19090464060359125
mean_absolute_error
0.18028119957402988
mean_absolute_error
0.1799692786039035
mean_absolute_error
0.17993445259937776
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]
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0.095
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0.095
predictive_accuracy
0
predictive_accuracy
0.095
predictive_accuracy
0
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
0.997794382241332
relative_absolute_error
0.9977348808515907
relative_absolute_error
0.997900974674905
relative_absolute_error
1.0020348957611211
relative_absolute_error
1.0003394289748961
relative_absolute_error
1.0009205650752024
relative_absolute_error
1.0605813366866192
relative_absolute_error
1.0015622198557228
relative_absolute_error
0.9998293255772428
relative_absolute_error
0.999635847774322
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
0.3089309355778421
root_mean_squared_error
0.30914848221927693
root_mean_squared_error
0.3086797923281756
root_mean_squared_error
0.3106140299692083
root_mean_squared_error
0.30981968996693027
root_mean_squared_error
0.31008730689147773
root_mean_squared_error
0.3590725911446785
root_mean_squared_error
0.3103722420381514
root_mean_squared_error
0.30961836011510446
root_mean_squared_error
0.30957156010853976
root_relative_squared_error
1.0297697852594743
root_relative_squared_error
1.0304949407309236
root_relative_squared_error
1.0289326410939195
root_relative_squared_error
1.0353800998973615
root_relative_squared_error
1.0327322998897683
root_relative_squared_error
1.0336243563049263
root_relative_squared_error
1.196908637148929
root_relative_squared_error
1.034574140127172
root_relative_squared_error
1.0320612003836822
root_relative_squared_error
1.0319052003617997
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 [0,0,0,0,0,0,0,0,0,0]
unweighted_recall
0 [0,0,0,0,0,0,0,0,0,0]
unweighted_recall
0.095 [0,0,0.95,0,0,0,0,0,0,0]
unweighted_recall
0 [0,0,0,0,0,0,0,0,0,0]
unweighted_recall
0 [0,0,0,0,0,0,0,0,0,0]
unweighted_recall
0 [0,0,0,0,0,0,0,0,0,0]
unweighted_recall
0.095 [0,0,0,0,0.9,0,0,0,0.05,0]
unweighted_recall
0 [0,0,0,0,0,0,0,0,0,0]
unweighted_recall
0.095 [0,0,0,0.95,0,0,0,0,0,0]
unweighted_recall
0 [0,0,0,0,0,0,0,0,0,0]
usercpu_time_millis
187.5
usercpu_time_millis
156.25
usercpu_time_millis
171.875
usercpu_time_millis
171.875
usercpu_time_millis
171.875
usercpu_time_millis
171.875
usercpu_time_millis
171.875
usercpu_time_millis
171.875
usercpu_time_millis
171.875
usercpu_time_millis
171.875
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_training
171.875
usercpu_time_millis_training
156.25
usercpu_time_millis_training
156.25
usercpu_time_millis_training
156.25
usercpu_time_millis_training
156.25
usercpu_time_millis_training
156.25
usercpu_time_millis_training
156.25
usercpu_time_millis_training
171.875
usercpu_time_millis_training
156.25
usercpu_time_millis_training
156.25
wall_clock_time_millis
180.89580535888672
wall_clock_time_millis
169.90160942077637
wall_clock_time_millis
170.90106010437012
wall_clock_time_millis
165.90332984924316
wall_clock_time_millis
171.90051078796387
wall_clock_time_millis
171.87738418579102
wall_clock_time_millis
166.88227653503418
wall_clock_time_millis
173.90155792236328
wall_clock_time_millis
172.89972305297852
wall_clock_time_millis
171.9207763671875
wall_clock_time_millis_testing
12.989282608032227
wall_clock_time_millis_testing
11.99197769165039
wall_clock_time_millis_testing
10.993003845214844
wall_clock_time_millis_testing
10.99252700805664
wall_clock_time_millis_testing
11.992454528808594
wall_clock_time_millis_testing
11.992454528808594
wall_clock_time_millis_testing
10.993480682373047
wall_clock_time_millis_testing
10.993242263793945
wall_clock_time_millis_testing
11.99197769165039
wall_clock_time_millis_testing
11.992454528808594
wall_clock_time_millis_training
167.9065227508545
wall_clock_time_millis_training
157.90963172912598
wall_clock_time_millis_training
159.90805625915527
wall_clock_time_millis_training
154.91080284118652
wall_clock_time_millis_training
159.90805625915527
wall_clock_time_millis_training
159.88492965698242
wall_clock_time_millis_training
155.88879585266113
wall_clock_time_millis_training
162.90831565856934
wall_clock_time_millis_training
160.90774536132812
wall_clock_time_millis_training
159.9283218383789
weighted_recall
0 [0,0,0,0,0,0,0,0,0,0]
weighted_recall
0 [0,0,0,0,0,0,0,0,0,0]
weighted_recall
0.095 [0,0,0.95,0,0,0,0,0,0,0]
weighted_recall
0 [0,0,0,0,0,0,0,0,0,0]
weighted_recall
0 [0,0,0,0,0,0,0,0,0,0]
weighted_recall
0 [0,0,0,0,0,0,0,0,0,0]
weighted_recall
0.095 [0,0,0,0,0.9,0,0,0,0.05,0]
weighted_recall
0 [0,0,0,0,0,0,0,0,0,0]
weighted_recall
0.095 [0,0,0,0.95,0,0,0,0,0,0]
weighted_recall
0 [0,0,0,0,0,0,0,0,0,0]