10591120
32117
VAIBHAV JAISWAL
146065
Supervised Classification
precision
19163
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.naive_bayes.GaussianNB)(1)
8304081
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
19163
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"}}]
19163
verbose
false
19163
priors
null
19164
var_smoothing
1e-09
19164
openml-python
Sklearn_1.0.2.
334
monks-problems-2
https://www.openml.org/data/download/52237/php4fATLZ
-1
22109836
description
https://api.openml.org/data/download/22109836/description.xml
-1
22109837
predictions
https://api.openml.org/data/download/22109837/predictions.arff
area_under_roc_curve
0.5546270124124371 [0.554627,0.554627]
average_cost
0
f_measure
0.5156892203590578 [0.784631,0]
kappa
-0.023048214242901394
kb_relative_information_score
-0.014491805805369034
mean_absolute_error
0.44667827429746726
mean_prior_absolute_error
0.4507164675789115
weighted_recall
0.6455906821963394 [0.982278,0]
number_of_instances
601 [395,206]
precision
0.4293069351305624 [0.653199,0]
predictive_accuracy
0.6455906821963394
prior_entropy
0.9274381882789376
relative_absolute_error
0.9910405020186284
root_mean_prior_squared_error
0.47463301952307513
root_mean_squared_error
0.47569650170759353
root_relative_squared_error
1.0022406409600138
total_cost
0
unweighted_recall
0.4911392405063291 [0.982278,0]
area_under_roc_curve
0.5357142857142857 [0.535714,0.535714]
area_under_roc_curve
0.4375 [0.4375,0.4375]
area_under_roc_curve
0.68375 [0.68375,0.68375]
area_under_roc_curve
0.545 [0.545,0.545]
area_under_roc_curve
0.72625 [0.72625,0.72625]
area_under_roc_curve
0.4554334554334555 [0.455433,0.455433]
area_under_roc_curve
0.5494505494505495 [0.549451,0.549451]
area_under_roc_curve
0.7582417582417581 [0.758242,0.758242]
area_under_roc_curve
0.44566544566544575 [0.445665,0.445665]
area_under_roc_curve
0.45421245421245426 [0.454212,0.454212]
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
0.5114754098360657 [0.78,0]
f_measure
0.5 [0.75,0]
f_measure
0.5252525252525253 [0.787879,0]
f_measure
0.5040816326530612 [0.77551,0]
kappa
-0.03230769230769217
kappa
-0.1250000000000002
kappa
0
kappa
-0.03278688524590152
kappa
0
kappa
0
kappa
0
kappa
0
kappa
-0.03286384976525835
kappa
0
kb_relative_information_score
-0.021712978461161825
kb_relative_information_score
-0.06997582297161391
kb_relative_information_score
0.030671831608218226
kb_relative_information_score
-0.02438696088811341
kb_relative_information_score
0.04164801626005055
kb_relative_information_score
-0.04216011862605834
kb_relative_information_score
-0.0032094895256568837
kb_relative_information_score
0.0503302007348329
kb_relative_information_score
-0.05227814338213173
kb_relative_information_score
-0.053166637628428576
mean_absolute_error
0.4490430850346624
mean_absolute_error
0.45691700532873886
mean_absolute_error
0.42837312297345626
mean_absolute_error
0.44825675105495943
mean_absolute_error
0.4270636178917096
mean_absolute_error
0.4580806499592802
mean_absolute_error
0.4450532455955621
mean_absolute_error
0.43094941784212865
mean_absolute_error
0.4609596074122521
mean_absolute_error
0.4620468263696403
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
0.4262295081967213 [0.65,0]
precision
0.4285714285714286 [0.642857,0]
precision
0.4406779661016949 [0.661017,0]
precision
0.4186440677966102 [0.644068,0]
predictive_accuracy
0.639344262295082
predictive_accuracy
0.6
predictive_accuracy
0.6666666666666667
predictive_accuracy
0.65
predictive_accuracy
0.6666666666666667
predictive_accuracy
0.65
predictive_accuracy
0.65
predictive_accuracy
0.65
predictive_accuracy
0.6333333333333333
predictive_accuracy
0.65
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
0.9952489634146765
relative_absolute_error
1.0204479785675158
relative_absolute_error
0.956699974640718
relative_absolute_error
1.0011067440227417
relative_absolute_error
0.9537754132914839
relative_absolute_error
1.011248881293962
relative_absolute_error
0.9824898667183732
relative_absolute_error
0.951354563275868
relative_absolute_error
1.0176044051604898
relative_absolute_error
1.0200045260878376
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
0.476931875260253
root_mean_squared_error
0.48531388267851666
root_mean_squared_error
0.46302806734835966
root_mean_squared_error
0.47307287720846436
root_mean_squared_error
0.4569530048345607
root_mean_squared_error
0.48565792380954054
root_mean_squared_error
0.4759098960806733
root_mean_squared_error
0.45956765481444933
root_mean_squared_error
0.4883269809026811
root_mean_squared_error
0.490754439719721
root_relative_squared_error
1.0037963672321866
root_relative_squared_error
1.0292769491767144
root_relative_squared_error
0.982012123603747
root_relative_squared_error
1.0033156379207224
root_relative_squared_error
0.9691278397754128
root_relative_squared_error
1.0181147403226256
root_relative_squared_error
0.9976793469453615
root_relative_squared_error
0.9634200959224618
root_relative_squared_error
1.0237100497700111
root_relative_squared_error
1.0287988818099958
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
0.4875 [0.975,0]
unweighted_recall
0.45 [0.9,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.4875 [0.975,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.48717948717948717 [0.974359,0]
unweighted_recall
0.5 [1,0]
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis_testing
15.625
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_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
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
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
wall_clock_time_millis
13.974189758300781
wall_clock_time_millis
12.969255447387695
wall_clock_time_millis
13.995170593261719
wall_clock_time_millis
12.993097305297852
wall_clock_time_millis
15.99264144897461
wall_clock_time_millis
13.993024826049805
wall_clock_time_millis
14.988422393798828
wall_clock_time_millis
14.990806579589844
wall_clock_time_millis
14.992237091064453
wall_clock_time_millis
15.994071960449219
wall_clock_time_millis_testing
3.000497817993164
wall_clock_time_millis_testing
1.9989013671875
wall_clock_time_millis_testing
2.998828887939453
wall_clock_time_millis_testing
1.9998550415039062
wall_clock_time_millis_testing
5.020380020141602
wall_clock_time_millis_testing
2.9973983764648438
wall_clock_time_millis_testing
2.9976367950439453
wall_clock_time_millis_testing
3.997325897216797
wall_clock_time_millis_testing
2.9976367950439453
wall_clock_time_millis_testing
4.001140594482422
wall_clock_time_millis_training
10.973691940307617
wall_clock_time_millis_training
10.970354080200195
wall_clock_time_millis_training
10.996341705322266
wall_clock_time_millis_training
10.993242263793945
wall_clock_time_millis_training
10.972261428833008
wall_clock_time_millis_training
10.995626449584961
wall_clock_time_millis_training
11.990785598754883
wall_clock_time_millis_training
10.993480682373047
wall_clock_time_millis_training
11.994600296020508
wall_clock_time_millis_training
11.992931365966797
weighted_recall
0.639344262295082 [0.975,0]
weighted_recall
0.6 [0.9,0]
weighted_recall
0.6666666666666666 [1,0]
weighted_recall
0.65 [0.975,0]
weighted_recall
0.6666666666666666 [1,0]
weighted_recall
0.65 [1,0]
weighted_recall
0.65 [1,0]
weighted_recall
0.65 [1,0]
weighted_recall
0.6333333333333333 [0.974359,0]
weighted_recall
0.65 [1,0]