10590809
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
22109214
description
https://api.openml.org/data/download/22109214/description.xml
-1
22109215
predictions
https://api.openml.org/data/download/22109215/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
0
usercpu_time_millis
0
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
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
15.625
usercpu_time_millis_testing
0
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
0
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
0
wall_clock_time_millis
7.976055145263672
wall_clock_time_millis
8.013010025024414
wall_clock_time_millis
7.99560546875
wall_clock_time_millis
8.00013542175293
wall_clock_time_millis
7.994890213012695
wall_clock_time_millis
6.995916366577148
wall_clock_time_millis
10.989904403686523
wall_clock_time_millis
6.995677947998047
wall_clock_time_millis
10.016202926635742
wall_clock_time_millis
9.994983673095703
wall_clock_time_millis_testing
1.9991397857666016
wall_clock_time_millis_testing
2.0177364349365234
wall_clock_time_millis_testing
2.9993057250976562
wall_clock_time_millis_testing
1.9803047180175781
wall_clock_time_millis_testing
1.9993782043457031
wall_clock_time_millis_testing
0.9992122650146484
wall_clock_time_millis_testing
2.9981136322021484
wall_clock_time_millis_testing
1.9986629486083984
wall_clock_time_millis_testing
3.016948699951172
wall_clock_time_millis_testing
3.0031204223632812
wall_clock_time_millis_training
5.97691535949707
wall_clock_time_millis_training
5.995273590087891
wall_clock_time_millis_training
4.996299743652344
wall_clock_time_millis_training
6.019830703735352
wall_clock_time_millis_training
5.995512008666992
wall_clock_time_millis_training
5.9967041015625
wall_clock_time_millis_training
7.991790771484375
wall_clock_time_millis_training
4.997014999389648
wall_clock_time_millis_training
6.99925422668457
wall_clock_time_millis_training
6.991863250732422
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]