10591481
32117
VAIBHAV JAISWAL
10101
Supervised Classification
19162
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.tree._classes.DecisionTreeClassifier)(1)
8304103
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
ccp_alpha
0.0
19085
class_weight
null
19085
criterion
"gini"
19085
max_depth
null
19085
max_features
null
19085
max_leaf_nodes
null
19085
min_impurity_decrease
0.0
19085
min_samples_leaf
1
19085
min_samples_split
2
19085
min_weight_fraction_leaf
0.0
19085
random_state
0
19085
splitter
"best"
19085
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
19162
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"}}]
19162
verbose
false
19162
openml-python
Sklearn_1.0.2.
1464
blood-transfusion-service-center
https://www.openml.org/data/download/1586225/php0iVrYT
-1
22110568
description
https://api.openml.org/data/download/22110568/description.xml
-1
22110569
predictions
https://api.openml.org/data/download/22110569/predictions.arff
area_under_roc_curve
0.5882022471910112 [0.588202,0.588202]
average_cost
0
f_measure
0.7029420733285806 [0.817717,0.335404]
kappa
0.1557027722688721
kb_relative_information_score
0.05234132981114669
mean_absolute_error
0.30935052994202805
mean_prior_absolute_error
0.3630445632798566
weighted_recall
0.713903743315508 [0.842105,0.303371]
number_of_instances
748 [570,178]
precision
0.6948263802811913 [0.794702,0.375]
predictive_accuracy
0.713903743315508
prior_entropy
0.7916465694609683
relative_absolute_error
0.8521007094756079
root_mean_prior_squared_error
0.4258399633559147
root_mean_squared_error
0.5209694371535367
root_relative_squared_error
1.223392546457913
total_cost
0
unweighted_recall
0.5727380248373743 [0.842105,0.303371]
area_under_roc_curve
0.517543859649123 [0.517544,0.517544]
area_under_roc_curve
0.5662768031189084 [0.566277,0.566277]
area_under_roc_curve
0.567738791423002 [0.567739,0.567739]
area_under_roc_curve
0.5989278752436648 [0.598928,0.598928]
area_under_roc_curve
0.631578947368421 [0.631579,0.631579]
area_under_roc_curve
0.5857699805068226 [0.58577,0.58577]
area_under_roc_curve
0.5960038986354775 [0.596004,0.596004]
area_under_roc_curve
0.5794346978557505 [0.579435,0.579435]
area_under_roc_curve
0.6852425180598555 [0.685243,0.685243]
area_under_roc_curve
0.5732714138286894 [0.573271,0.573271]
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
0.6168476441042813 [0.743363,0.216216]
f_measure
0.7137127371273713 [0.845528,0.296296]
f_measure
0.656 [0.8,0.2]
f_measure
0.7066666666666667 [0.807018,0.388889]
f_measure
0.7880726484142045 [0.87395,0.516129]
f_measure
0.6557886557886557 [0.786325,0.242424]
f_measure
0.7211864406779661 [0.830508,0.375]
f_measure
0.7133333333333334 [0.833333,0.333333]
f_measure
0.7837837837837838 [0.859649,0.529412]
f_measure
0.668336439888164 [0.793103,0.25]
kappa
-0.04017216642754668
kappa
0.16225749559082905
kappa
0.009900990099010184
kappa
0.19590643274853803
kappa
0.3941841680129241
kappa
0.031007751937984312
kappa
0.20886075949367064
kappa
0.17491749174917487
kappa
0.38906088751289986
kappa
0.0441334768568354
kb_relative_information_score
-0.2361966573002943
kb_relative_information_score
0.16110896197602123
kb_relative_information_score
-0.010945802073787057
kb_relative_information_score
0.036304172576838135
kb_relative_information_score
0.20673274752527646
kb_relative_information_score
-0.02890968863223041
kb_relative_information_score
0.09483793828074268
kb_relative_information_score
0.10312923048220651
kb_relative_information_score
0.2415567905557744
kb_relative_information_score
-0.0408767968752714
mean_absolute_error
0.4015854911372152
mean_absolute_error
0.27975369075369066
mean_absolute_error
0.3346825396825396
mean_absolute_error
0.3212115483083224
mean_absolute_error
0.25923809523809527
mean_absolute_error
0.3339682539682541
mean_absolute_error
0.2917261904761904
mean_absolute_error
0.29841202475685247
mean_absolute_error
0.2414855315590609
mean_absolute_error
0.33082337144837143
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.35873873873873896
mean_prior_absolute_error
0.35873873873873896
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
74 [57,17]
number_of_instances
74 [57,17]
precision
0.6205263157894737 [0.75,0.210526]
precision
0.7054545454545454 [0.787879,0.444444]
precision
0.639047619047619 [0.761905,0.25]
precision
0.7066666666666667 [0.807018,0.388889]
precision
0.7851116625310173 [0.83871,0.615385]
precision
0.6466666666666666 [0.766667,0.266667]
precision
0.7133489461358313 [0.803279,0.428571]
precision
0.7031746031746031 [0.793651,0.416667]
precision
0.7837837837837838 [0.859649,0.529412]
precision
0.6618109635058788 [0.779661,0.266667]
predictive_accuracy
0.6133333333333334
predictive_accuracy
0.7466666666666667
predictive_accuracy
0.68
predictive_accuracy
0.7066666666666667
predictive_accuracy
0.8
predictive_accuracy
0.6666666666666667
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.7837837837837838
predictive_accuracy
0.6756756756756757
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7778597106646706
prior_entropy
0.7778597106646706
relative_absolute_error
1.1029336397865506
relative_absolute_error
0.7683289441382302
relative_absolute_error
0.9191881674304401
relative_absolute_error
0.882190791091408
relative_absolute_error
0.7119839293561278
relative_absolute_error
0.9172264189109067
relative_absolute_error
0.8012107911862556
relative_absolute_error
0.8195730868889675
relative_absolute_error
0.6731515319702598
relative_absolute_error
0.9221846868601006
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4207539065176338
root_mean_prior_squared_error
0.4207539065176338
root_mean_squared_error
0.6086279901087449
root_mean_squared_error
0.4867732248833971
root_mean_squared_error
0.5355684633986119
root_mean_squared_error
0.5282723448791713
root_mean_squared_error
0.4613536230841585
root_mean_squared_error
0.5370725226399348
root_mean_squared_error
0.5179053260353756
root_mean_squared_error
0.4957135340907736
root_mean_squared_error
0.4695477514029785
root_mean_squared_error
0.5521321055717607
root_relative_squared_error
1.4250739053806507
root_relative_squared_error
1.13975668535286
root_relative_squared_error
1.2540084487369811
root_relative_squared_error
1.2369249292774809
root_relative_squared_error
1.0802378794517553
root_relative_squared_error
1.2575301329378226
root_relative_squared_error
1.212651040677249
root_relative_squared_error
1.1606900002258587
root_relative_squared_error
1.1159676574109236
root_relative_squared_error
1.3122447516684457
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
0.47953216374269003 [0.736842,0.222222]
unweighted_recall
0.567251461988304 [0.912281,0.222222]
unweighted_recall
0.5043859649122807 [0.842105,0.166667]
unweighted_recall
0.597953216374269 [0.807018,0.388889]
unweighted_recall
0.6783625730994152 [0.912281,0.444444]
unweighted_recall
0.5146198830409356 [0.807018,0.222222]
unweighted_recall
0.5964912280701754 [0.859649,0.333333]
unweighted_recall
0.577485380116959 [0.877193,0.277778]
unweighted_recall
0.6945304437564499 [0.859649,0.529412]
unweighted_recall
0.5211558307533539 [0.807018,0.235294]
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
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
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
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
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
0
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
wall_clock_time_millis
10.971307754516602
wall_clock_time_millis
10.99395751953125
wall_clock_time_millis
9.993791580200195
wall_clock_time_millis
8.991479873657227
wall_clock_time_millis
7.97271728515625
wall_clock_time_millis
7.99250602722168
wall_clock_time_millis
8.995771408081055
wall_clock_time_millis
17.987966537475586
wall_clock_time_millis
19.988298416137695
wall_clock_time_millis
11.990070343017578
wall_clock_time_millis_testing
1.9989013671875
wall_clock_time_millis_testing
2.9985904693603516
wall_clock_time_millis_testing
2.980470657348633
wall_clock_time_millis_testing
1.9998550415039062
wall_clock_time_millis_testing
1.9993782043457031
wall_clock_time_millis_testing
1.9998550415039062
wall_clock_time_millis_testing
1.9996166229248047
wall_clock_time_millis_testing
4.976987838745117
wall_clock_time_millis_testing
4.994392395019531
wall_clock_time_millis_testing
2.9985904693603516
wall_clock_time_millis_training
8.972406387329102
wall_clock_time_millis_training
7.995367050170898
wall_clock_time_millis_training
7.0133209228515625
wall_clock_time_millis_training
6.99162483215332
wall_clock_time_millis_training
5.973339080810547
wall_clock_time_millis_training
5.992650985717773
wall_clock_time_millis_training
6.99615478515625
wall_clock_time_millis_training
13.010978698730469
wall_clock_time_millis_training
14.993906021118164
wall_clock_time_millis_training
8.991479873657227
weighted_recall
0.6133333333333333 [0.736842,0.222222]
weighted_recall
0.7466666666666667 [0.912281,0.222222]
weighted_recall
0.68 [0.842105,0.166667]
weighted_recall
0.7066666666666667 [0.807018,0.388889]
weighted_recall
0.8 [0.912281,0.444444]
weighted_recall
0.6666666666666666 [0.807018,0.222222]
weighted_recall
0.7333333333333333 [0.859649,0.333333]
weighted_recall
0.7333333333333333 [0.877193,0.277778]
weighted_recall
0.7837837837837838 [0.859649,0.529412]
weighted_recall
0.6756756756756757 [0.807018,0.235294]