10590845
32117
VAIBHAV JAISWAL
59
Supervised Classification
predictive_accuracy
19165
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.svm._classes.SVC)(1)
8304367
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
19165
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"}}]
19165
verbose
false
19165
C
1.0
19166
break_ties
false
19166
cache_size
200
19166
class_weight
null
19166
coef0
0.0
19166
decision_function_shape
"ovr"
19166
degree
3
19166
gamma
"scale"
19166
kernel
"rbf"
19166
max_iter
-1
19166
probability
false
19166
random_state
35922
19166
shrinking
true
19166
tol
0.001
19166
verbose
false
19166
openml-python
Sklearn_1.0.2.
61
iris
https://www.openml.org/data/download/61/dataset_61_iris.arff
-1
22109286
description
https://api.openml.org/data/download/22109286/description.xml
-1
22109287
predictions
https://api.openml.org/data/download/22109287/predictions.arff
area_under_roc_curve
0.975 [1,0.965,0.96]
average_cost
0
f_measure
0.9666633329999667 [1,0.950495,0.949495]
kappa
0.9499999999999998
kb_relative_information_score
0.9543643251190486
mean_absolute_error
0.02222222222222222
mean_prior_absolute_error
0.44444444444444337
weighted_recall
0.9666666666666667 [1,0.96,0.94]
number_of_instances
150 [50,50,50]
precision
0.9667867146858744 [1,0.941176,0.959184]
predictive_accuracy
0.9666666666666667
prior_entropy
1.5849625007211599
relative_absolute_error
0.050000000000000114
root_mean_prior_squared_error
0.4714045207910311
root_mean_squared_error
0.14907119849998596
root_relative_squared_error
0.3162277660168382
total_cost
0
unweighted_recall
0.9666666666666667 [1,0.96,0.94]
area_under_roc_curve
0.95 [1,0.95,0.9]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.95 [1,0.9,0.95]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.95 [1,0.9,0.95]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.9 [1,0.9,0.8]
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
1 [1,1,1]
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
1
kappa
0.9
kappa
1
kappa
0.9
kappa
1
kappa
0.8
kappa
1
kappa
1
kb_relative_information_score
0.9087286502380971
kb_relative_information_score
1.0000000000000002
kb_relative_information_score
1.0000000000000002
kb_relative_information_score
0.9087286502380971
kb_relative_information_score
1.0000000000000002
kb_relative_information_score
0.9087286502380971
kb_relative_information_score
1.0000000000000002
kb_relative_information_score
0.8174573004761941
kb_relative_information_score
1.0000000000000002
kb_relative_information_score
1.0000000000000002
mean_absolute_error
0.04444444444444444
mean_absolute_error
0
mean_absolute_error
0
mean_absolute_error
0.04444444444444444
mean_absolute_error
0
mean_absolute_error
0.04444444444444444
mean_absolute_error
0
mean_absolute_error
0.08888888888888888
mean_absolute_error
0
mean_absolute_error
0
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
1 [1,1,1]
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
1
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
0.09999999999999995
relative_absolute_error
0
relative_absolute_error
0
relative_absolute_error
0.09999999999999995
relative_absolute_error
0
relative_absolute_error
0.09999999999999995
relative_absolute_error
0
relative_absolute_error
0.1999999999999999
relative_absolute_error
0
relative_absolute_error
0
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
0.21081851067789195
root_mean_squared_error
0
root_mean_squared_error
0
root_mean_squared_error
0.21081851067789195
root_mean_squared_error
0
root_mean_squared_error
0.21081851067789195
root_mean_squared_error
0
root_mean_squared_error
0.2981423969999719
root_mean_squared_error
0
root_mean_squared_error
0
root_relative_squared_error
0.44721359549995787
root_relative_squared_error
0
root_relative_squared_error
0
root_relative_squared_error
0.44721359549995787
root_relative_squared_error
0
root_relative_squared_error
0.44721359549995787
root_relative_squared_error
0
root_relative_squared_error
0.6324555320336757
root_relative_squared_error
0
root_relative_squared_error
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
total_cost
0
unweighted_recall
0.9333333333333332 [1,1,0.8]
unweighted_recall
1 [1,1,1]
unweighted_recall
1 [1,1,1]
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
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
15.625
usercpu_time_millis
15.625
usercpu_time_millis
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_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
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
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
0
wall_clock_time_millis
7.990837097167969
wall_clock_time_millis
7.998228073120117
wall_clock_time_millis
6.994962692260742
wall_clock_time_millis
7.999181747436523
wall_clock_time_millis
6.995916366577148
wall_clock_time_millis
11.993169784545898
wall_clock_time_millis
10.994195938110352
wall_clock_time_millis
7.994890213012695
wall_clock_time_millis
9.016752243041992
wall_clock_time_millis
7.993936538696289
wall_clock_time_millis_testing
1.9948482513427734
wall_clock_time_millis_testing
1.9996166229248047
wall_clock_time_millis_testing
1.9977092742919922
wall_clock_time_millis_testing
1.9977092742919922
wall_clock_time_millis_testing
1.9986629486083984
wall_clock_time_millis_testing
2.99835205078125
wall_clock_time_millis_testing
2.996206283569336
wall_clock_time_millis_testing
1.9991397857666016
wall_clock_time_millis_testing
2.000093460083008
wall_clock_time_millis_testing
2.0003318786621094
wall_clock_time_millis_training
5.995988845825195
wall_clock_time_millis_training
5.9986114501953125
wall_clock_time_millis_training
4.99725341796875
wall_clock_time_millis_training
6.001472473144531
wall_clock_time_millis_training
4.99725341796875
wall_clock_time_millis_training
8.994817733764648
wall_clock_time_millis_training
7.997989654541016
wall_clock_time_millis_training
5.995750427246094
wall_clock_time_millis_training
7.016658782958984
wall_clock_time_millis_training
5.99360466003418
weighted_recall
0.9333333333333333 [1,1,0.8]
weighted_recall
1 [1,1,1]
weighted_recall
1 [1,1,1]
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]