10591312
32117
VAIBHAV JAISWAL
59
Supervised Classification
predictive_accuracy
19161
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.neighbors._classification.KNeighborsClassifier)(1)
8304079
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
algorithm
"auto"
19154
leaf_size
30
19154
metric
"minkowski"
19154
metric_params
null
19154
n_jobs
null
19154
n_neighbors
5
19154
p
2
19154
weights
"uniform"
19154
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
19161
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"}}]
19161
verbose
false
19161
openml-python
Sklearn_1.0.2.
61
iris
https://www.openml.org/data/download/61/dataset_61_iris.arff
-1
22110230
description
https://api.openml.org/data/download/22110230/description.xml
-1
22110231
predictions
https://api.openml.org/data/download/22110231/predictions.arff
area_under_roc_curve
0.9908333333333333 [1,0.9837,0.9888]
average_cost
0
f_measure
0.96 [1,0.94,0.94]
kappa
0.94
kb_relative_information_score
0.9122572071231838
mean_absolute_error
0.048000000000000015
mean_prior_absolute_error
0.44444444444444337
weighted_recall
0.96 [1,0.94,0.94]
number_of_instances
150 [50,50,50]
precision
0.96 [1,0.94,0.94]
predictive_accuracy
0.96
prior_entropy
1.5849625007211599
relative_absolute_error
0.10800000000000029
root_mean_prior_squared_error
0.4714045207910311
root_mean_squared_error
0.15202339001321843
root_relative_squared_error
0.32249030993194244
total_cost
0
unweighted_recall
0.96 [1,0.94,0.94]
area_under_roc_curve
0.9933333333333333 [1,0.99,0.99]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.9366666666666668 [1,0.88,0.93]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [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
0.9326599326599326 [1,0.909091,0.888889]
f_measure
1 [1,1,1]
f_measure
0.9326599326599326 [1,0.888889,0.909091]
f_measure
0.9326599326599326 [1,0.888889,0.909091]
f_measure
1 [1,1,1]
f_measure
0.9326599326599326 [1,0.888889,0.909091]
f_measure
1 [1,1,1]
f_measure
0.861111111111111 [1,0.833333,0.75]
f_measure
1 [1,1,1]
f_measure
1 [1,1,1]
kappa
0.9
kappa
1
kappa
0.9
kappa
0.9
kappa
1
kappa
0.9
kappa
1
kappa
0.8
kappa
1
kappa
1
kb_relative_information_score
0.8998579132373727
kb_relative_information_score
0.9244625963326087
kb_relative_information_score
0.9308561479519011
kb_relative_information_score
0.9443970821902353
kb_relative_information_score
0.9864590657616655
kb_relative_information_score
0.8331912465707059
kb_relative_information_score
0.9458362630466631
kb_relative_information_score
0.8666666666666665
kb_relative_information_score
0.9109216620942745
kb_relative_information_score
0.879923427379746
mean_absolute_error
0.05333333333333333
mean_absolute_error
0.044444444444444446
mean_absolute_error
0.035555555555555556
mean_absolute_error
0.026666666666666665
mean_absolute_error
0.008888888888888889
mean_absolute_error
0.08888888888888888
mean_absolute_error
0.035555555555555556
mean_absolute_error
0.06222222222222222
mean_absolute_error
0.05333333333333333
mean_absolute_error
0.07111111111111111
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
precision
0.9444444444444445 [1,0.833333,1]
precision
1 [1,1,1]
precision
0.9444444444444445 [1,1,0.833333]
precision
0.9444444444444445 [1,1,0.833333]
precision
1 [1,1,1]
precision
0.9444444444444445 [1,1,0.833333]
precision
1 [1,1,1]
precision
0.9047619047619048 [1,0.714286,1]
precision
1 [1,1,1]
precision
1 [1,1,1]
predictive_accuracy
0.9333333333333332
predictive_accuracy
1
predictive_accuracy
0.9333333333333332
predictive_accuracy
0.9333333333333332
predictive_accuracy
1
predictive_accuracy
0.9333333333333332
predictive_accuracy
1
predictive_accuracy
0.8666666666666667
predictive_accuracy
1
predictive_accuracy
1
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
relative_absolute_error
0.11999999999999994
relative_absolute_error
0.09999999999999996
relative_absolute_error
0.07999999999999997
relative_absolute_error
0.05999999999999997
relative_absolute_error
0.019999999999999993
relative_absolute_error
0.1999999999999999
relative_absolute_error
0.07999999999999997
relative_absolute_error
0.13999999999999996
relative_absolute_error
0.11999999999999994
relative_absolute_error
0.15999999999999995
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_squared_error
0.1577621275493231
root_mean_squared_error
0.1264911064067352
root_mean_squared_error
0.13333333333333333
root_mean_squared_error
0.12649110640673517
root_mean_squared_error
0.042163702135578386
root_mean_squared_error
0.24585451886114365
root_mean_squared_error
0.08432740427115677
root_mean_squared_error
0.21081851067789195
root_mean_squared_error
0.13333333333333336
root_mean_squared_error
0.15776212754932312
root_relative_squared_error
0.33466401061363016
root_relative_squared_error
0.2683281572999748
root_relative_squared_error
0.282842712474619
root_relative_squared_error
0.2683281572999747
root_relative_squared_error
0.08944271909999156
root_relative_squared_error
0.5215361924162119
root_relative_squared_error
0.17888543819998312
root_relative_squared_error
0.44721359549995787
root_relative_squared_error
0.282842712474619
root_relative_squared_error
0.3346640106136302
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
0.9333333333333332 [1,1,0.8]
unweighted_recall
1 [1,1,1]
unweighted_recall
0.9333333333333332 [1,0.8,1]
unweighted_recall
0.9333333333333332 [1,0.8,1]
unweighted_recall
1 [1,1,1]
unweighted_recall
0.9333333333333332 [1,0.8,1]
unweighted_recall
1 [1,1,1]
unweighted_recall
0.8666666666666667 [1,1,0.6]
unweighted_recall
1 [1,1,1]
unweighted_recall
1 [1,1,1]
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
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
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
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
0
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
wall_clock_time_millis
8.996009826660156
wall_clock_time_millis
10.992765426635742
wall_clock_time_millis
8.995532989501953
wall_clock_time_millis
7.994890213012695
wall_clock_time_millis
8.995532989501953
wall_clock_time_millis
9.015798568725586
wall_clock_time_millis
8.01992416381836
wall_clock_time_millis
15.992403030395508
wall_clock_time_millis
21.988630294799805
wall_clock_time_millis
10.990619659423828
wall_clock_time_millis_testing
3.9975643157958984
wall_clock_time_millis_testing
4.997730255126953
wall_clock_time_millis_testing
2.9990673065185547
wall_clock_time_millis_testing
2.9981136322021484
wall_clock_time_millis_testing
2.9973983764648438
wall_clock_time_millis_testing
5.017280578613281
wall_clock_time_millis_testing
3.000020980834961
wall_clock_time_millis_testing
4.993915557861328
wall_clock_time_millis_testing
6.99615478515625
wall_clock_time_millis_testing
3.9949417114257812
wall_clock_time_millis_training
4.998445510864258
wall_clock_time_millis_training
5.995035171508789
wall_clock_time_millis_training
5.996465682983398
wall_clock_time_millis_training
4.996776580810547
wall_clock_time_millis_training
5.998134613037109
wall_clock_time_millis_training
3.9985179901123047
wall_clock_time_millis_training
5.019903182983398
wall_clock_time_millis_training
10.99848747253418
wall_clock_time_millis_training
14.992475509643555
wall_clock_time_millis_training
6.995677947998047
weighted_recall
0.9333333333333333 [1,1,0.8]
weighted_recall
1 [1,1,1]
weighted_recall
0.9333333333333333 [1,0.8,1]
weighted_recall
0.9333333333333333 [1,0.8,1]
weighted_recall
1 [1,1,1]
weighted_recall
0.9333333333333333 [1,0.8,1]
weighted_recall
1 [1,1,1]
weighted_recall
0.8666666666666667 [1,1,0.6]
weighted_recall
1 [1,1,1]
weighted_recall
1 [1,1,1]