10591625
32117
VAIBHAV JAISWAL
146065
Supervised Classification
precision
19162
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.tree._classes.DecisionTreeClassifier)(1)
8304103
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
ccp_alpha
0.0
19085
class_weight
null
19085
criterion
"gini"
19085
max_depth
null
19085
max_features
null
19085
max_leaf_nodes
null
19085
min_impurity_decrease
0.0
19085
min_samples_leaf
1
19085
min_samples_split
2
19085
min_weight_fraction_leaf
0.0
19085
random_state
0
19085
splitter
"best"
19085
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
19162
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"}}]
19162
verbose
false
19162
openml-python
Sklearn_1.0.2.
334
monks-problems-2
https://www.openml.org/data/download/52237/php4fATLZ
-1
22110856
description
https://api.openml.org/data/download/22110856/description.xml
-1
22110857
predictions
https://api.openml.org/data/download/22110857/predictions.arff
area_under_roc_curve
0.9937753471795501 [0.993775,0.993775]
average_cost
0
f_measure
0.9933520560625904 [0.994924,0.990338]
kappa
0.9852622028224967
kb_relative_information_score
0.9845768065287426
mean_absolute_error
0.0066555740432612314
mean_prior_absolute_error
0.4507164675789115
weighted_recall
0.9933444259567388 [0.992405,0.995146]
number_of_instances
601 [395,206]
precision
0.9933839552334809 [0.997455,0.985577]
predictive_accuracy
0.9933444259567388
prior_entropy
0.9274381882789376
relative_absolute_error
0.014766653810127255
root_mean_prior_squared_error
0.47463301952307513
root_mean_squared_error
0.08158170164480041
root_relative_squared_error
0.17188374657704186
total_cost
0
unweighted_recall
0.9937753471795502 [0.992405,0.995146]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9625 [0.9625,0.9625]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9743589743589743 [0.974359,0.974359]
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
1 [1,1]
f_measure
1 [1,1]
f_measure
0.9666666666666667 [0.975,0.95]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
0.9669856459330144 [0.973684,0.954545]
kappa
1
kappa
1
kappa
0.925
kappa
1
kappa
1
kappa
1
kappa
1
kappa
1
kappa
1
kappa
0.9283154121863799
kb_relative_information_score
1
kb_relative_information_score
1
kb_relative_information_score
0.922013507617644
kb_relative_information_score
1
kb_relative_information_score
1
kb_relative_information_score
1
kb_relative_information_score
1
kb_relative_information_score
1
kb_relative_information_score
1
kb_relative_information_score
0.9233155888712753
mean_absolute_error
0
mean_absolute_error
0
mean_absolute_error
0.03333333333333333
mean_absolute_error
0
mean_absolute_error
0
mean_absolute_error
0
mean_absolute_error
0
mean_absolute_error
0
mean_absolute_error
0
mean_absolute_error
0.03333333333333333
mean_prior_absolute_error
0.4511866895033036
mean_prior_absolute_error
0.4477611940298512
mean_prior_absolute_error
0.4477611940298512
mean_prior_absolute_error
0.4477611940298512
mean_prior_absolute_error
0.4477611940298512
mean_prior_absolute_error
0.4529850746268661
mean_prior_absolute_error
0.4529850746268661
mean_prior_absolute_error
0.4529850746268661
mean_prior_absolute_error
0.4529850746268661
mean_prior_absolute_error
0.4529850746268661
number_of_instances
61 [40,21]
number_of_instances
60 [40,20]
number_of_instances
60 [40,20]
number_of_instances
60 [40,20]
number_of_instances
60 [40,20]
number_of_instances
60 [39,21]
number_of_instances
60 [39,21]
number_of_instances
60 [39,21]
number_of_instances
60 [39,21]
number_of_instances
60 [39,21]
precision
1 [1,1]
precision
1 [1,1]
precision
0.9666666666666667 [0.975,0.95]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
0.9695652173913043 [1,0.913043]
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.9666666666666667
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.9666666666666667
prior_entropy
0.9288422097579495
prior_entropy
0.9186141260139027
prior_entropy
0.9186141260139027
prior_entropy
0.9186141260139027
prior_entropy
0.9186141260139027
prior_entropy
0.9342119537235741
prior_entropy
0.9342119537235741
prior_entropy
0.9342119537235741
prior_entropy
0.9342119537235741
prior_entropy
0.9342119537235741
relative_absolute_error
0
relative_absolute_error
0
relative_absolute_error
0.07444444444444437
relative_absolute_error
0
relative_absolute_error
0
relative_absolute_error
0
relative_absolute_error
0
relative_absolute_error
0
relative_absolute_error
0
relative_absolute_error
0.07358594179022508
root_mean_prior_squared_error
0.4751281144554437
root_mean_prior_squared_error
0.47150952235615856
root_mean_prior_squared_error
0.47150952235615856
root_mean_prior_squared_error
0.47150952235615856
root_mean_prior_squared_error
0.47150952235615856
root_mean_prior_squared_error
0.4770168867760844
root_mean_prior_squared_error
0.4770168867760844
root_mean_prior_squared_error
0.4770168867760844
root_mean_prior_squared_error
0.4770168867760844
root_mean_prior_squared_error
0.4770168867760844
root_mean_squared_error
0
root_mean_squared_error
0
root_mean_squared_error
0.18257418583505536
root_mean_squared_error
0
root_mean_squared_error
0
root_mean_squared_error
0
root_mean_squared_error
0
root_mean_squared_error
0
root_mean_squared_error
0
root_mean_squared_error
0.18257418583505536
root_relative_squared_error
0
root_relative_squared_error
0
root_relative_squared_error
0.387212086243184
root_relative_squared_error
0
root_relative_squared_error
0
root_relative_squared_error
0
root_relative_squared_error
0
root_relative_squared_error
0
root_relative_squared_error
0
root_relative_squared_error
0.38274155673813115
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
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
0.9624999999999999 [0.975,0.95]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
0.9743589743589743 [0.948718,1]
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
31.25
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
wall_clock_time_millis
14.991521835327148
wall_clock_time_millis
14.989852905273438
wall_clock_time_millis
12.992620468139648
wall_clock_time_millis
13.993978500366211
wall_clock_time_millis
13.994216918945312
wall_clock_time_millis
24.991512298583984
wall_clock_time_millis
28.98120880126953
wall_clock_time_millis
15.990495681762695
wall_clock_time_millis
17.990827560424805
wall_clock_time_millis
16.993284225463867
wall_clock_time_millis_testing
2.9993057250976562
wall_clock_time_millis_testing
3.0159950256347656
wall_clock_time_millis_testing
1.9984245300292969
wall_clock_time_millis_testing
3.9997100830078125
wall_clock_time_millis_testing
2.997875213623047
wall_clock_time_millis_testing
6.99925422668457
wall_clock_time_millis_testing
5.996227264404297
wall_clock_time_millis_testing
5.993366241455078
wall_clock_time_millis_testing
1.9998550415039062
wall_clock_time_millis_testing
4.001855850219727
wall_clock_time_millis_training
11.992216110229492
wall_clock_time_millis_training
11.973857879638672
wall_clock_time_millis_training
10.994195938110352
wall_clock_time_millis_training
9.994268417358398
wall_clock_time_millis_training
10.996341705322266
wall_clock_time_millis_training
17.992258071899414
wall_clock_time_millis_training
22.984981536865234
wall_clock_time_millis_training
9.997129440307617
wall_clock_time_millis_training
15.990972518920898
wall_clock_time_millis_training
12.99142837524414
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
0.9666666666666667 [0.975,0.95]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
0.9666666666666667 [0.948718,1]