10590905
32117
VAIBHAV JAISWAL
3954
Supervised Classification
19165
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.svm._classes.SVC)(1)
8304377
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
4412
19166
shrinking
true
19166
tol
0.001
19166
verbose
false
19166
openml-python
Sklearn_1.0.2.
1120
MagicTelescope
https://www.openml.org/data/download/54003/MagicTelescope.arff
-1
22109406
description
https://api.openml.org/data/download/22109406/description.xml
-1
22109407
predictions
https://api.openml.org/data/download/22109407/predictions.arff
area_under_roc_curve
0.8323843509397887 [0.832384,0.832384]
average_cost
0
f_measure
0.8648837148843715 [0.904439,0.791949]
kappa
0.6982899914222561
kb_relative_information_score
0.7013975563626387
mean_absolute_error
0.13096740273396426
mean_prior_absolute_error
0.45597723417494307
weighted_recall
0.8690325972660358 [0.955887,0.708882]
number_of_instances
19020 [12332,6688]
precision
0.8718962672539913 [0.858245,0.897067]
predictive_accuracy
0.8690325972660358
prior_entropy
0.9355152453166837
relative_absolute_error
0.2872235561736762
root_mean_prior_squared_error
0.47747911240123586
root_mean_squared_error
0.36189418720665334
root_relative_squared_error
0.7579267402644956
total_cost
0
unweighted_recall
0.8323843509397887 [0.955887,0.708882]
area_under_roc_curve
0.8322855908927688 [0.832286,0.832286]
area_under_roc_curve
0.8370301536311494 [0.83703,0.83703]
area_under_roc_curve
0.8234973214188297 [0.823497,0.823497]
area_under_roc_curve
0.8399870526151172 [0.839987,0.839987]
area_under_roc_curve
0.833578824479286 [0.833579,0.833579]
area_under_roc_curve
0.8348590153441058 [0.834859,0.834859]
area_under_roc_curve
0.8236082470477417 [0.823608,0.823608]
area_under_roc_curve
0.831702181052448 [0.831702,0.831702]
area_under_roc_curve
0.839899766874334 [0.8399,0.8399]
area_under_roc_curve
0.8274088136776756 [0.827409,0.827409]
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
0.8657590611011381 [0.905545,0.792262]
f_measure
0.8663388010163333 [0.904025,0.796721]
f_measure
0.8607909868751514 [0.903861,0.781411]
f_measure
0.8694498774563225 [0.906419,0.801314]
f_measure
0.8664311440811148 [0.905747,0.79397]
f_measure
0.8683808073694624 [0.907492,0.796296]
f_measure
0.8571608523317462 [0.899272,0.779547]
f_measure
0.8626877280358578 [0.902082,0.790083]
f_measure
0.8711298059287935 [0.908462,0.802326]
f_measure
0.8604974408631116 [0.901495,0.784937]
kappa
0.6998930639789144
kappa
0.7020179814121322
kappa
0.6884159201284756
kappa
0.7090629136184528
kappa
0.7017018395474002
kappa
0.7059177563357983
kappa
0.6809730263384468
kappa
0.6937629075751065
kappa
0.7124365859515251
kappa
0.6884753190041182
kb_relative_information_score
0.7037973322190116
kb_relative_information_score
0.7025981311348798
kb_relative_information_score
0.6955540075470743
kb_relative_information_score
0.7099372827810718
kb_relative_information_score
0.7051428577030724
kb_relative_information_score
0.7099372827810714
kb_relative_information_score
0.684766551121578
kb_relative_information_score
0.6955540075470751
kb_relative_information_score
0.7147317078590701
kb_relative_information_score
0.6919581887385761
mean_absolute_error
0.129863301787592
mean_absolute_error
0.13038906414300735
mean_absolute_error
0.13354363827549948
mean_absolute_error
0.12723449001051526
mean_absolute_error
0.12933753943217666
mean_absolute_error
0.12723449001051526
mean_absolute_error
0.13827549947423765
mean_absolute_error
0.13354363827549948
mean_absolute_error
0.12513144058885384
mean_absolute_error
0.13512092534174552
mean_prior_absolute_error
0.455852435405734
mean_prior_absolute_error
0.455852435405734
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
number_of_instances
1902 [1234,668]
number_of_instances
1902 [1234,668]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
precision
0.8737445329395402 [0.85735,0.904031]
precision
0.8705409849112131 [0.865185,0.880435]
precision
0.873256049051678 [0.84741,0.920892]
precision
0.8741955214218043 [0.866223,0.888889]
precision
0.8740292247287978 [0.858388,0.902857]
precision
0.8769523327036685 [0.858279,0.911368]
precision
0.8644266859727157 [0.851959,0.887405]
precision
0.8680638970440258 [0.859662,0.883549]
precision
0.8776069017472733 [0.863936,0.902804]
precision
0.8676596666678754 [0.854651,0.891635]
predictive_accuracy
0.8701366982124079
predictive_accuracy
0.8696109358569926
predictive_accuracy
0.8664563617245006
predictive_accuracy
0.8727655099894848
predictive_accuracy
0.8706624605678234
predictive_accuracy
0.8727655099894848
predictive_accuracy
0.8617245005257623
predictive_accuracy
0.8664563617245006
predictive_accuracy
0.8748685594111462
predictive_accuracy
0.8648790746582544
prior_entropy
0.9351439892378896
prior_entropy
0.9351439892378896
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
relative_absolute_error
0.28488013159786335
relative_absolute_error
0.28603349245453485
relative_absolute_error
0.29285343944842707
relative_absolute_error
0.27901784388393447
relative_absolute_error
0.2836297090720986
relative_absolute_error
0.27901784388393447
relative_absolute_error
0.30323013612179645
relative_absolute_error
0.29285343944842707
relative_absolute_error
0.2744059786957702
relative_absolute_error
0.2963123383395502
root_mean_prior_squared_error
0.4773484094561718
root_mean_prior_squared_error
0.4773484094561718
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_squared_error
0.36036551137364964
root_mean_squared_error
0.3610942593603606
root_mean_squared_error
0.3654362301079348
root_mean_squared_error
0.35669943931903686
root_mean_squared_error
0.3596352866894135
root_mean_squared_error
0.35669943931903686
root_mean_squared_error
0.37185413736334527
root_mean_squared_error
0.3654362301079348
root_mean_squared_error
0.35373922681666764
root_mean_squared_error
0.36758798313022356
root_relative_squared_error
0.7549318364424904
root_relative_squared_error
0.7564584949004943
root_relative_squared_error
0.7652925926942866
root_relative_squared_error
0.746996100108731
root_relative_squared_error
0.7531443198546676
root_relative_squared_error
0.746996100108731
root_relative_squared_error
0.7787329045148028
root_relative_squared_error
0.7652925926942866
root_relative_squared_error
0.7407968551674314
root_relative_squared_error
0.7697987705540428
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
0.8322855908927688 [0.959481,0.70509]
unweighted_recall
0.8370301536311493 [0.946515,0.727545]
unweighted_recall
0.8234973214188297 [0.96837,0.678625]
unweighted_recall
0.8399870526151172 [0.950527,0.729447]
unweighted_recall
0.8335788244792861 [0.958637,0.70852]
unweighted_recall
0.8348590153441058 [0.962693,0.707025]
unweighted_recall
0.8236082470477417 [0.952149,0.695067]
unweighted_recall
0.8317021810524479 [0.948905,0.714499]
unweighted_recall
0.839899766874334 [0.957826,0.721973]
unweighted_recall
0.8274088136776756 [0.953771,0.701046]
usercpu_time_millis
9734.375
usercpu_time_millis
8921.875
usercpu_time_millis
8890.625
usercpu_time_millis
10078.125
usercpu_time_millis
10765.625
usercpu_time_millis
12843.75
usercpu_time_millis
10375
usercpu_time_millis
10656.25
usercpu_time_millis
11312.5
usercpu_time_millis
10781.25
usercpu_time_millis_testing
1718.75
usercpu_time_millis_testing
1687.5
usercpu_time_millis_testing
1875
usercpu_time_millis_testing
1796.875
usercpu_time_millis_testing
2703.125
usercpu_time_millis_testing
2140.625
usercpu_time_millis_testing
1937.5
usercpu_time_millis_testing
2093.75
usercpu_time_millis_testing
2046.875
usercpu_time_millis_testing
2812.5
usercpu_time_millis_training
8015.625
usercpu_time_millis_training
7234.375
usercpu_time_millis_training
7015.625
usercpu_time_millis_training
8281.25
usercpu_time_millis_training
8062.5
usercpu_time_millis_training
10703.125
usercpu_time_millis_training
8437.5
usercpu_time_millis_training
8562.5
usercpu_time_millis_training
9265.625
usercpu_time_millis_training
7968.75
wall_clock_time_millis
11471.401453018188
wall_clock_time_millis
9172.741651535034
wall_clock_time_millis
9117.769718170166
wall_clock_time_millis
11017.682075500488
wall_clock_time_millis
12977.556943893433
wall_clock_time_millis
14140.89298248291
wall_clock_time_millis
11256.550073623657
wall_clock_time_millis
11552.377939224243
wall_clock_time_millis
12591.801881790161
wall_clock_time_millis
11958.123207092285
wall_clock_time_millis_testing
1784.95454788208
wall_clock_time_millis_testing
1759.9914073944092
wall_clock_time_millis_testing
1973.8657474517822
wall_clock_time_millis_testing
1826.9503116607666
wall_clock_time_millis_testing
3660.9013080596924
wall_clock_time_millis_testing
2231.720447540283
wall_clock_time_millis_testing
2191.744804382324
wall_clock_time_millis_testing
2168.757200241089
wall_clock_time_millis_testing
2184.770107269287
wall_clock_time_millis_testing
3419.039249420166
wall_clock_time_millis_training
9686.446905136108
wall_clock_time_millis_training
7412.750244140625
wall_clock_time_millis_training
7143.903970718384
wall_clock_time_millis_training
9190.731763839722
wall_clock_time_millis_training
9316.65563583374
wall_clock_time_millis_training
11909.172534942627
wall_clock_time_millis_training
9064.805269241333
wall_clock_time_millis_training
9383.620738983154
wall_clock_time_millis_training
10407.031774520874
wall_clock_time_millis_training
8539.08395767212
weighted_recall
0.870136698212408 [0.959481,0.70509]
weighted_recall
0.8696109358569927 [0.946515,0.727545]
weighted_recall
0.8664563617245006 [0.96837,0.678625]
weighted_recall
0.8727655099894848 [0.950527,0.729447]
weighted_recall
0.8706624605678234 [0.958637,0.70852]
weighted_recall
0.8727655099894848 [0.962693,0.707025]
weighted_recall
0.8617245005257623 [0.952149,0.695067]
weighted_recall
0.8664563617245006 [0.948905,0.714499]
weighted_recall
0.8748685594111462 [0.957826,0.721973]
weighted_recall
0.8648790746582544 [0.953771,0.701046]