10591621
32117
VAIBHAV JAISWAL
146065
Supervised Classification
precision
19176
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.neural_network._multilayer_perceptron.MLPClassifier)(1)
8304110
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
19176
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"}}]
19176
verbose
false
19176
activation
"relu"
19177
alpha
0.0001
19177
batch_size
"auto"
19177
beta_1
0.9
19177
beta_2
0.999
19177
early_stopping
false
19177
epsilon
1e-08
19177
hidden_layer_sizes
[100]
19177
learning_rate
"constant"
19177
learning_rate_init
0.001
19177
max_fun
15000
19177
max_iter
5000
19177
momentum
0.9
19177
n_iter_no_change
10
19177
nesterovs_momentum
true
19177
power_t
0.5
19177
random_state
0
19177
shuffle
true
19177
solver
"adam"
19177
tol
0.0001
19177
validation_fraction
0.1
19177
verbose
false
19177
warm_start
false
19177
openml-python
Sklearn_1.0.2.
334
monks-problems-2
https://www.openml.org/data/download/52237/php4fATLZ
-1
22110848
description
https://api.openml.org/data/download/22110848/description.xml
-1
22110849
predictions
https://api.openml.org/data/download/22110849/predictions.arff
area_under_roc_curve
0.9921592724591374 [0.992159,0.992159]
average_cost
0
f_measure
0.9652303940742172 [0.973111,0.950119]
kappa
0.9232490680548039
kb_relative_information_score
0.8464330257476145
mean_absolute_error
0.07772294901560502
mean_prior_absolute_error
0.4507164675789115
weighted_recall
0.9650582362728786 [0.962025,0.970874]
number_of_instances
601 [395,206]
precision
0.9658702339495626 [0.984456,0.930233]
predictive_accuracy
0.9650582362728786
prior_entropy
0.9274381882789376
relative_absolute_error
0.17244310915264546
root_mean_prior_squared_error
0.47463301952307513
root_mean_squared_error
0.1682346241359797
root_relative_squared_error
0.3544520023175519
total_cost
0
unweighted_recall
0.9664495514317316 [0.962025,0.970874]
area_under_roc_curve
0.9988095238095238 [0.99881,0.99881]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.99375 [0.99375,0.99375]
area_under_roc_curve
0.9875 [0.9875,0.9875]
area_under_roc_curve
0.9962500000000001 [0.99625,0.99625]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9621489621489622 [0.962149,0.962149]
area_under_roc_curve
0.9963369963369964 [0.996337,0.996337]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
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
0.9836934228369293 [0.987342,0.976744]
f_measure
0.9834311001337862 [0.987342,0.97561]
f_measure
0.9179502667874762 [0.935065,0.883721]
f_measure
0.9185185185185186 [0.933333,0.888889]
f_measure
0.9834311001337862 [0.987342,0.97561]
f_measure
1 [1,1]
f_measure
0.9161778326644026 [0.936709,0.878049]
f_measure
0.9497066995986415 [0.962025,0.926829]
f_measure
1 [1,1]
f_measure
1 [1,1]
kappa
0.9640965273690406
kappa
0.9629629629629628
kappa
0.8192771084337349
kappa
0.8235294117647058
kappa
0.9629629629629628
kappa
1
kappa
0.8148148148148148
kappa
0.8888888888888887
kappa
1
kappa
1
kb_relative_information_score
0.8823897286489931
kb_relative_information_score
0.8722042189771245
kb_relative_information_score
0.7975179827776716
kb_relative_information_score
0.7770697632069864
kb_relative_information_score
0.8728301769239095
kb_relative_information_score
0.8674084539427974
kb_relative_information_score
0.7578405971869612
kb_relative_information_score
0.8543036484699236
kb_relative_information_score
0.895391496852942
kb_relative_information_score
0.8858812438983307
mean_absolute_error
0.06134031682461317
mean_absolute_error
0.06847989283208539
mean_absolute_error
0.0969431487446549
mean_absolute_error
0.10193323650823193
mean_absolute_error
0.0667428605980662
mean_absolute_error
0.07414234529046886
mean_absolute_error
0.11223737933630057
mean_absolute_error
0.07426214963792034
mean_absolute_error
0.05707269820484825
mean_absolute_error
0.06434850604871131
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
0.9843517138599106 [1,0.954545]
precision
0.9841269841269842 [1,0.952381]
precision
0.9240109674892284 [0.972973,0.826087]
precision
0.9333333333333333 [1,0.8]
precision
0.9841269841269842 [1,0.952381]
precision
1 [1,1]
precision
0.9162500000000001 [0.925,0.9]
precision
0.95 [0.95,0.95]
precision
1 [1,1]
precision
1 [1,1]
predictive_accuracy
0.9836065573770492
predictive_accuracy
0.9833333333333333
predictive_accuracy
0.9166666666666667
predictive_accuracy
0.9166666666666667
predictive_accuracy
0.9833333333333333
predictive_accuracy
1
predictive_accuracy
0.9166666666666667
predictive_accuracy
0.95
predictive_accuracy
1
predictive_accuracy
1
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
0.1359532943938144
relative_absolute_error
0.15293842732499052
relative_absolute_error
0.21650636552972904
relative_absolute_error
0.22765089486838438
relative_absolute_error
0.14905905533568103
relative_absolute_error
0.1636750291420563
relative_absolute_error
0.24777279787585274
relative_absolute_error
0.16393950661418974
relative_absolute_error
0.1259924474373914
relative_absolute_error
0.1420543626116525
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
0.1340765627359541
root_mean_squared_error
0.12946291354292708
root_mean_squared_error
0.18976757322019364
root_mean_squared_error
0.23630163920386577
root_mean_squared_error
0.14478474169615307
root_mean_squared_error
0.1345066822591781
root_mean_squared_error
0.24913109146417486
root_mean_squared_error
0.16401013936930228
root_mean_squared_error
0.11893480850874873
root_mean_squared_error
0.12019917732618988
root_relative_squared_error
0.2821903369991537
root_relative_squared_error
0.2745711537192163
root_relative_squared_error
0.40246816707309496
root_relative_squared_error
0.5011598451353723
root_relative_squared_error
0.3070664214216839
root_relative_squared_error
0.2819746763437258
root_relative_squared_error
0.5222689141005589
root_relative_squared_error
0.3438245980719126
root_relative_squared_error
0.24933039438617968
root_relative_squared_error
0.25198096893079674
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
0.9875 [0.975,1]
unweighted_recall
0.9875 [0.975,1]
unweighted_recall
0.925 [0.9,0.95]
unweighted_recall
0.9375 [0.875,1]
unweighted_recall
0.9875 [0.975,1]
unweighted_recall
1 [1,1]
unweighted_recall
0.9029304029304028 [0.948718,0.857143]
unweighted_recall
0.9395604395604396 [0.974359,0.904762]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
usercpu_time_millis
4734.375
usercpu_time_millis
4656.25
usercpu_time_millis
4546.875
usercpu_time_millis
4343.75
usercpu_time_millis
4359.375
usercpu_time_millis
4875
usercpu_time_millis
4437.5
usercpu_time_millis
4609.375
usercpu_time_millis
4437.5
usercpu_time_millis
4265.625
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
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_training
4734.375
usercpu_time_millis_training
4656.25
usercpu_time_millis_training
4546.875
usercpu_time_millis_training
4343.75
usercpu_time_millis_training
4359.375
usercpu_time_millis_training
4875
usercpu_time_millis_training
4421.875
usercpu_time_millis_training
4609.375
usercpu_time_millis_training
4437.5
usercpu_time_millis_training
4265.625
wall_clock_time_millis
4724.658966064453
wall_clock_time_millis
4575.220584869385
wall_clock_time_millis
4518.434047698975
wall_clock_time_millis
4368.9284324646
wall_clock_time_millis
4250.187635421753
wall_clock_time_millis
4955.450534820557
wall_clock_time_millis
4242.125988006592
wall_clock_time_millis
4558.335781097412
wall_clock_time_millis
4392.1215534210205
wall_clock_time_millis
4229.292154312134
wall_clock_time_millis_testing
3.9963722229003906
wall_clock_time_millis_testing
6.011724472045898
wall_clock_time_millis_testing
3.9968490600585938
wall_clock_time_millis_testing
4.000425338745117
wall_clock_time_millis_testing
3.9970874786376953
wall_clock_time_millis_testing
3.9985179901123047
wall_clock_time_millis_testing
3.9975643157958984
wall_clock_time_millis_testing
3.0210018157958984
wall_clock_time_millis_testing
3.999471664428711
wall_clock_time_millis_testing
2.9976367950439453
wall_clock_time_millis_training
4720.662593841553
wall_clock_time_millis_training
4569.208860397339
wall_clock_time_millis_training
4514.437198638916
wall_clock_time_millis_training
4364.9280071258545
wall_clock_time_millis_training
4246.190547943115
wall_clock_time_millis_training
4951.452016830444
wall_clock_time_millis_training
4238.128423690796
wall_clock_time_millis_training
4555.314779281616
wall_clock_time_millis_training
4388.122081756592
wall_clock_time_millis_training
4226.29451751709
weighted_recall
0.9836065573770492 [0.975,1]
weighted_recall
0.9833333333333333 [0.975,1]
weighted_recall
0.9166666666666666 [0.9,0.95]
weighted_recall
0.9166666666666666 [0.875,1]
weighted_recall
0.9833333333333333 [0.975,1]
weighted_recall
1 [1,1]
weighted_recall
0.9166666666666666 [0.948718,0.857143]
weighted_recall
0.95 [0.974359,0.904762]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]