10591593
32117
VAIBHAV JAISWAL
146065
Supervised Classification
precision
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.
334
monks-problems-2
https://www.openml.org/data/download/52237/php4fATLZ
-1
22110792
description
https://api.openml.org/data/download/22110792/description.xml
-1
22110793
predictions
https://api.openml.org/data/download/22110793/predictions.arff
area_under_roc_curve
0.5643234607349146 [0.564323,0.564323]
average_cost
0
f_measure
0.48377135198783655 [0.736067,0]
kappa
-0.14012440386664732
kb_relative_information_score
-0.17983219613732446
mean_absolute_error
0.49868348434629006
mean_prior_absolute_error
0.4507164675789115
weighted_recall
0.5823627287853578 [0.886076,0]
number_of_instances
601 [395,206]
precision
0.41372891703276315 [0.629496,0]
predictive_accuracy
0.5823627287853577
prior_entropy
0.9274381882789376
relative_absolute_error
1.1064239277189944
root_mean_prior_squared_error
0.47463301952307513
root_mean_squared_error
0.4987001197253446
root_relative_squared_error
1.0507067549292142
total_cost
0
unweighted_recall
0.4430379746835443 [0.886076,0]
area_under_roc_curve
0.5416666666666666 [0.541667,0.541667]
area_under_roc_curve
0.4725 [0.4725,0.4725]
area_under_roc_curve
0.73875 [0.73875,0.73875]
area_under_roc_curve
0.54875 [0.54875,0.54875]
area_under_roc_curve
0.6662499999999999 [0.66625,0.66625]
area_under_roc_curve
0.42124542124542125 [0.421245,0.421245]
area_under_roc_curve
0.5543345543345544 [0.554335,0.554335]
area_under_roc_curve
0.7155067155067155 [0.715507,0.715507]
area_under_roc_curve
0.4908424908424908 [0.490842,0.490842]
area_under_roc_curve
0.4884004884004884 [0.4884,0.4884]
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
0.4781420765027322 [0.729167,0]
f_measure
0.45421245421245426 [0.681319,0]
f_measure
0.5170068027210885 [0.77551,0]
f_measure
0.49122807017543857 [0.736842,0]
f_measure
0.5085910652920963 [0.762887,0]
f_measure
0.4702127659574468 [0.723404,0]
f_measure
0.5040816326530612 [0.77551,0]
f_measure
0.5040816326530612 [0.77551,0]
f_measure
0.4612903225806452 [0.709677,0]
f_measure
0.4428571428571429 [0.681319,0]
kappa
-0.15261627906976738
kappa
-0.26086956521739124
kappa
-0.06451612903225816
kappa
-0.15384615384615358
kappa
-0.09523809523809522
kappa
-0.15555555555555559
kappa
-0.03286384976525835
kappa
-0.03286384976525835
kappa
-0.18421052631578935
kappa
-0.23931623931623913
kb_relative_information_score
-0.1779436241753747
kb_relative_information_score
-0.19316323270062472
kb_relative_information_score
-0.19063399062228042
kb_relative_information_score
-0.19337977151629882
kb_relative_information_score
-0.191086441679493
kb_relative_information_score
-0.17201565549230316
kb_relative_information_score
-0.16978968276245823
kb_relative_information_score
-0.16873212926717215
kb_relative_information_score
-0.17095885874157268
kb_relative_information_score
-0.17145603912804114
mean_absolute_error
0.4987266534757543
mean_absolute_error
0.49883414901911555
mean_absolute_error
0.4980304491797039
mean_absolute_error
0.4988984688866615
mean_absolute_error
0.4981739838981456
mean_absolute_error
0.499292503419948
mean_absolute_error
0.49857684972677413
mean_absolute_error
0.498235258514598
mean_absolute_error
0.49895357959494085
mean_absolute_error
0.49911222826176643
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
0.4098360655737705 [0.625,0]
precision
0.40522875816993464 [0.607843,0]
precision
0.43678160919540227 [0.655172,0]
precision
0.4242424242424242 [0.636364,0]
precision
0.4327485380116959 [0.649123,0]
precision
0.4018181818181818 [0.618182,0]
precision
0.4186440677966102 [0.644068,0]
precision
0.4186440677966102 [0.644068,0]
precision
0.39722222222222225 [0.611111,0]
precision
0.3875 [0.596154,0]
predictive_accuracy
0.5737704918032787
predictive_accuracy
0.5166666666666666
predictive_accuracy
0.6333333333333333
predictive_accuracy
0.5833333333333334
predictive_accuracy
0.6166666666666667
predictive_accuracy
0.5666666666666667
predictive_accuracy
0.6333333333333333
predictive_accuracy
0.6333333333333333
predictive_accuracy
0.55
predictive_accuracy
0.5166666666666666
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
1.1053665036634521
relative_absolute_error
1.114062932809357
relative_absolute_error
1.1122680031680041
relative_absolute_error
1.1142065805135428
relative_absolute_error
1.1125885640391906
relative_absolute_error
1.1022272727886817
relative_absolute_error
1.100647411258446
relative_absolute_error
1.0998933219267886
relative_absolute_error
1.1014790719229326
relative_absolute_error
1.1018293012697962
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
0.4987415813994495
root_mean_squared_error
0.4988519821398146
root_mean_squared_error
0.49804828795214895
root_mean_squared_error
0.49891211874675756
root_mean_squared_error
0.49819214364235076
root_mean_squared_error
0.4993087254874713
root_mean_squared_error
0.49859524728887267
root_mean_squared_error
0.49825122583100384
root_mean_squared_error
0.49896964053151244
root_mean_squared_error
0.4991279577887955
root_relative_squared_error
1.0496991573968841
root_relative_squared_error
1.0579891995542832
root_relative_squared_error
1.056284686390584
root_relative_squared_error
1.0581167401533413
root_relative_squared_error
1.056589782435056
root_relative_squared_error
1.0467317600893464
root_relative_squared_error
1.0452360516178483
root_relative_squared_error
1.0445148581603296
root_relative_squared_error
1.0460209153260707
root_relative_squared_error
1.0463528055833593
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
0.4375 [0.875,0]
unweighted_recall
0.3875 [0.775,0]
unweighted_recall
0.475 [0.95,0]
unweighted_recall
0.4375 [0.875,0]
unweighted_recall
0.4625 [0.925,0]
unweighted_recall
0.4358974358974359 [0.871795,0]
unweighted_recall
0.48717948717948717 [0.974359,0]
unweighted_recall
0.48717948717948717 [0.974359,0]
unweighted_recall
0.4230769230769231 [0.846154,0]
unweighted_recall
0.3974358974358974 [0.794872,0]
usercpu_time_millis
140.625
usercpu_time_millis
171.875
usercpu_time_millis
156.25
usercpu_time_millis
156.25
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
140.625
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
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
15.625
usercpu_time_millis_training
125
usercpu_time_millis_training
156.25
usercpu_time_millis_training
140.625
usercpu_time_millis_training
140.625
usercpu_time_millis_training
125
usercpu_time_millis_training
125
usercpu_time_millis_training
125
usercpu_time_millis_training
125
usercpu_time_millis_training
125
usercpu_time_millis_training
125
wall_clock_time_millis
142.8983211517334
wall_clock_time_millis
212.87250518798828
wall_clock_time_millis
147.91178703308105
wall_clock_time_millis
146.91686630249023
wall_clock_time_millis
141.91722869873047
wall_clock_time_millis
136.92045211791992
wall_clock_time_millis
148.91839027404785
wall_clock_time_millis
150.91204643249512
wall_clock_time_millis
145.91169357299805
wall_clock_time_millis
136.92188262939453
wall_clock_time_millis_testing
12.992143630981445
wall_clock_time_millis_testing
17.987728118896484
wall_clock_time_millis_testing
11.988639831542969
wall_clock_time_millis_testing
12.995481491088867
wall_clock_time_millis_testing
13.010263442993164
wall_clock_time_millis_testing
11.989355087280273
wall_clock_time_millis_testing
15.991449356079102
wall_clock_time_millis_testing
15.993118286132812
wall_clock_time_millis_testing
12.98975944519043
wall_clock_time_millis_testing
12.990713119506836
wall_clock_time_millis_training
129.90617752075195
wall_clock_time_millis_training
194.8847770690918
wall_clock_time_millis_training
135.9231472015381
wall_clock_time_millis_training
133.92138481140137
wall_clock_time_millis_training
128.9069652557373
wall_clock_time_millis_training
124.93109703063965
wall_clock_time_millis_training
132.92694091796875
wall_clock_time_millis_training
134.9189281463623
wall_clock_time_millis_training
132.92193412780762
wall_clock_time_millis_training
123.9311695098877
weighted_recall
0.5737704918032787 [0.875,0]
weighted_recall
0.5166666666666667 [0.775,0]
weighted_recall
0.6333333333333333 [0.95,0]
weighted_recall
0.5833333333333334 [0.875,0]
weighted_recall
0.6166666666666667 [0.925,0]
weighted_recall
0.5666666666666667 [0.871795,0]
weighted_recall
0.6333333333333333 [0.974359,0]
weighted_recall
0.6333333333333333 [0.974359,0]
weighted_recall
0.55 [0.846154,0]
weighted_recall
0.5166666666666666 [0.794872,0]