7808770
3886
Benjamin Strang
28
Supervised Classification
7122
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)
5838497
memory
null
7122
axis
0
7123
copy
true
7123
missing_values
"NaN"
7123
strategy
"mean"
7123
verbose
0
7123
class_weight
null
7124
criterion
"gini"
7124
max_depth
null
7124
max_features
null
7124
max_leaf_nodes
null
7124
min_impurity_decrease
0.0
7124
min_impurity_split
null
7124
min_samples_leaf
1
7124
min_samples_split
2
7124
min_weight_fraction_leaf
0.0
7124
presort
false
7124
random_state
32626
7124
splitter
"best"
7124
openml-python
Sklearn_0.19.0.
28
optdigits
https://www.openml.org/data/download/28/dataset_28_optdigits.arff
-1
16541513
description
https://api.openml.org/data/download/16541513/description.xml
-1
16541514
predictions
https://api.openml.org/data/download/16541514/predictions.arff
area_under_roc_curve
0.9464115447088273 [0.981075,0.942082,0.947082,0.942845,0.936942,0.954231,0.975235,0.958262,0.911892,0.914887]
average_cost
0
f_measure
0.9036356212262372 [0.966576,0.887543,0.910407,0.887166,0.890265,0.924051,0.949333,0.934646,0.841155,0.846222]
kappa
0.8928404763575809
kb_relative_information_score
5053.3369499056425
mean_absolute_error
0.019288256227758184
mean_prior_absolute_error
0.17999735782507298
number_of_instances
5620 [554,571,557,572,568,558,558,566,554,562]
precision
0.9038560656504753 [0.96745,0.876923,0.917883,0.874363,0.895018,0.932482,0.941799,0.947368,0.841155,0.845471]
predictive_accuracy
0.90355871886121
prior_entropy
3.3218330631942767
recall
0.90355871886121 [0.965704,0.898424,0.903052,0.90035,0.885563,0.915771,0.956989,0.922261,0.841155,0.846975]
relative_absolute_error
0.10715855199665271
root_mean_prior_squared_error
0.2999977942685968
root_mean_squared_error
0.1388821667016978
root_relative_squared_error
0.4629439594390902
total_cost
0
area_under_roc_curve
0.9446501799928239 [0.987951,0.941428,0.969262,0.891591,0.90634,0.953381,0.959345,0.953381,0.942711,0.944488]
area_under_roc_curve
0.9476224183023251 [0.970755,0.943408,0.951405,0.951936,0.915112,0.960333,0.989095,0.925607,0.939753,0.929595]
area_under_roc_curve
0.9495850601267998 [0.980832,0.931666,0.942476,0.928696,0.959962,0.979178,0.980167,0.979486,0.913466,0.899809]
area_under_roc_curve
0.9446287643943196 [0.981818,0.946239,0.942476,0.933646,0.9502,0.950416,0.989095,0.95317,0.930446,0.869106]
area_under_roc_curve
0.9406995523323879 [0.960678,0.947229,0.951405,0.941428,0.940438,0.958705,0.931571,0.95416,0.904375,0.917092]
area_under_roc_curve
0.9446111230623963 [0.988937,0.937467,0.933547,0.944259,0.933646,0.94151,0.986131,0.971704,0.877873,0.930676]
area_under_roc_curve
0.9466050258228808 [0.972226,0.913132,0.950601,0.957982,0.957982,0.977202,0.967796,0.968734,0.897833,0.902809]
area_under_roc_curve
0.9505693352973065 [0.990083,0.925864,0.96681,0.936477,0.925864,0.935524,0.997041,0.980476,0.90775,0.941523]
area_under_roc_curve
0.9475911802011177 [0.989095,0.975814,0.921356,0.971565,0.950416,0.925607,0.990083,0.963298,0.878,0.908773]
area_under_roc_curve
0.947610848041326 [0.988107,0.957982,0.941488,0.971704,0.929595,0.960333,0.962309,0.931571,0.927619,0.904785]
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
0.9003423420186022 [0.964286,0.894737,0.938053,0.844037,0.854545,0.93578,0.920354,0.93578,0.854701,0.864407]
f_measure
0.9062286570603071 [0.954128,0.910714,0.918919,0.913793,0.864865,0.928571,0.973451,0.897196,0.833333,0.867257]
f_measure
0.9096036938974471 [0.972477,0.877193,0.909091,0.854701,0.921739,0.955752,0.964286,0.956522,0.810345,0.873786]
f_measure
0.9008437872655262 [0.981481,0.87395,0.909091,0.892857,0.904348,0.910714,0.973451,0.928571,0.880734,0.754386]
f_measure
0.8937907143989551 [0.93578,0.881356,0.918919,0.894737,0.886957,0.918919,0.882883,0.936937,0.8,0.880734]
f_measure
0.9000256938178719 [0.972973,0.864407,0.899083,0.859504,0.892857,0.907407,0.948276,0.955752,0.831683,0.869565]
f_measure
0.9033758791386826 [0.963636,0.849558,0.917431,0.905983,0.905983,0.93913,0.928571,0.931034,0.857143,0.836364]
f_measure
0.9112865998563351 [0.982143,0.890909,0.920354,0.857143,0.890909,0.915888,0.973451,0.964912,0.87619,0.842975]
f_measure
0.9052695613058509 [0.973451,0.92562,0.87037,0.894309,0.910714,0.897196,0.982143,0.954128,0.819048,0.824561]
f_measure
0.9056639687178282 [0.964912,0.905983,0.900901,0.955752,0.867257,0.928571,0.945455,0.882883,0.852174,0.851852]
kappa
0.8892918576468891
kappa
0.8952178593289384
kappa
0.8991676458378774
kappa
0.8892801733691236
kappa
0.8813762048828537
kappa
0.8892739407457967
kappa
0.8932340772846247
kappa
0.9011478806598114
kappa
0.8952056939201289
kappa
0.8952141731397051
kb_relative_information_score
503.53317514606164
kb_relative_information_score
506.62018702404384
kb_relative_information_score
508.6874356552764
kb_relative_information_score
503.4585743830736
kb_relative_information_score
499.23718347304884
kb_relative_information_score
503.41687975671687
kb_relative_information_score
505.5287017250084
kb_relative_information_score
509.75091376063256
kb_relative_information_score
506.5074571711619
kb_relative_information_score
506.5964418109228
mean_absolute_error
0.019928825622775787
mean_absolute_error
0.0188612099644128
mean_absolute_error
0.01814946619217081
mean_absolute_error
0.019928825622775787
mean_absolute_error
0.021352313167259766
mean_absolute_error
0.019928825622775787
mean_absolute_error
0.019217081850533797
mean_absolute_error
0.017793594306049817
mean_absolute_error
0.0188612099644128
mean_absolute_error
0.0188612099644128
mean_prior_absolute_error
0.17999677629374952
mean_prior_absolute_error
0.17999677629374952
mean_prior_absolute_error
0.17999715555330845
mean_prior_absolute_error
0.17999715555330845
mean_prior_absolute_error
0.1799969027136025
mean_prior_absolute_error
0.1799969027136025
mean_prior_absolute_error
0.17999759802279386
mean_prior_absolute_error
0.17999759802279386
mean_prior_absolute_error
0.1799979140724263
mean_prior_absolute_error
0.17999879901139712
number_of_instances
562 [55,57,56,58,57,56,56,56,55,56]
number_of_instances
562 [55,57,56,58,57,56,56,56,55,56]
number_of_instances
562 [55,57,56,57,57,56,56,57,55,56]
number_of_instances
562 [55,57,56,57,57,56,56,57,55,56]
number_of_instances
562 [55,57,56,57,57,55,56,57,55,57]
number_of_instances
562 [55,57,56,57,57,55,56,57,55,57]
number_of_instances
562 [56,57,55,57,57,56,55,57,56,56]
number_of_instances
562 [56,57,55,57,57,56,55,57,56,56]
number_of_instances
562 [56,58,55,57,56,56,56,56,56,56]
number_of_instances
562 [56,57,56,57,56,56,56,56,56,56]
precision
0.9026992756950601 [0.947368,0.894737,0.929825,0.901961,0.886792,0.962264,0.912281,0.962264,0.806452,0.822581]
precision
0.9085417456736167 [0.962963,0.927273,0.927273,0.913793,0.888889,0.928571,0.964912,0.941176,0.769231,0.859649]
precision
0.911953676874888 [0.981481,0.877193,0.925926,0.833333,0.913793,0.947368,0.964286,0.948276,0.770492,0.957447]
precision
0.9019787555822162 [1,0.83871,0.925926,0.909091,0.896552,0.910714,0.964912,0.945455,0.888889,0.741379]
precision
0.8954336401022255 [0.944444,0.852459,0.927273,0.894737,0.87931,0.910714,0.890909,0.962963,0.766667,0.923077]
precision
0.9023091044567575 [0.964286,0.836066,0.924528,0.8125,0.909091,0.924528,0.916667,0.964286,0.913043,0.862069]
precision
0.9042303812960096 [0.981481,0.857143,0.925926,0.883333,0.883333,0.915254,0.912281,0.915254,0.918367,0.851852]
precision
0.9147022279522861 [0.982143,0.924528,0.896552,0.822581,0.924528,0.960784,0.948276,0.964912,0.938776,0.784615]
precision
0.9075367869173578 [0.964912,0.888889,0.886792,0.833333,0.910714,0.941176,0.982143,0.981132,0.877551,0.810345]
precision
0.9062828236797142 [0.948276,0.883333,0.909091,0.964286,0.859649,0.928571,0.962963,0.890909,0.830508,0.884615]
predictive_accuracy
0.900355871886121
predictive_accuracy
0.905693950177936
predictive_accuracy
0.9092526690391459
predictive_accuracy
0.900355871886121
predictive_accuracy
0.8932384341637011
predictive_accuracy
0.900355871886121
predictive_accuracy
0.9039145907473309
predictive_accuracy
0.911032028469751
predictive_accuracy
0.905693950177936
predictive_accuracy
0.905693950177936
prior_entropy
3.3218330631942767
prior_entropy
3.3218330631942767
prior_entropy
3.3218330631942767
prior_entropy
3.3218330631942767
prior_entropy
3.3218330631942767
prior_entropy
3.3218330631942767
prior_entropy
3.3218330631942767
prior_entropy
3.3218330631942767
prior_entropy
3.3218330631942767
prior_entropy
3.3218330631942767
recall
0.900355871886121 [0.981818,0.894737,0.946429,0.793103,0.824561,0.910714,0.928571,0.910714,0.909091,0.910714]
recall
0.905693950177936 [0.945455,0.894737,0.910714,0.913793,0.842105,0.928571,0.982143,0.857143,0.909091,0.875]
recall
0.9092526690391459 [0.963636,0.877193,0.892857,0.877193,0.929825,0.964286,0.964286,0.964912,0.854545,0.803571]
recall
0.900355871886121 [0.963636,0.912281,0.892857,0.877193,0.912281,0.910714,0.982143,0.912281,0.872727,0.767857]
recall
0.8932384341637011 [0.927273,0.912281,0.910714,0.894737,0.894737,0.927273,0.875,0.912281,0.836364,0.842105]
recall
0.900355871886121 [0.981818,0.894737,0.875,0.912281,0.877193,0.890909,0.982143,0.947368,0.763636,0.877193]
recall
0.9039145907473309 [0.946429,0.842105,0.909091,0.929825,0.929825,0.964286,0.945455,0.947368,0.803571,0.821429]
recall
0.9110320284697508 [0.982143,0.859649,0.945455,0.894737,0.859649,0.875,1,0.964912,0.821429,0.910714]
recall
0.905693950177936 [0.982143,0.965517,0.854545,0.964912,0.910714,0.857143,0.982143,0.928571,0.767857,0.839286]
recall
0.905693950177936 [0.982143,0.929825,0.892857,0.947368,0.875,0.928571,0.928571,0.875,0.875,0.821429]
relative_absolute_error
0.1107176808003079
relative_absolute_error
0.10478637647171998
relative_absolute_error
0.10083196112949472
relative_absolute_error
0.11071744751473926
relative_absolute_error
0.11862600325536687
relative_absolute_error
0.11071760303834244
relative_absolute_error
0.10676299051557486
relative_absolute_error
0.09885462084775452
relative_absolute_error
0.10478571411012885
relative_absolute_error
0.10478519894579158
root_mean_prior_squared_error
0.2999968250410308
root_mean_prior_squared_error
0.2999968250410308
root_mean_prior_squared_error
0.2999974571463194
root_mean_prior_squared_error
0.2999974571463194
root_mean_prior_squared_error
0.2999970357429417
root_mean_prior_squared_error
0.2999970357429417
root_mean_prior_squared_error
0.2999981946008062
root_mean_prior_squared_error
0.2999981946008062
root_mean_prior_squared_error
0.2999987213529011
root_mean_prior_squared_error
0.3000001962538465
root_mean_squared_error
0.14116949253566008
root_mean_squared_error
0.13733612039231632
root_mean_squared_error
0.13471995469183773
root_mean_squared_error
0.14116949253566008
root_mean_squared_error
0.14612430724304484
root_mean_squared_error
0.14116949253566008
root_mean_squared_error
0.13862568972067837
root_mean_squared_error
0.13339263212805202
root_mean_squared_error
0.13733612039231632
root_mean_squared_error
0.13733612039231632
root_relative_squared_error
0.4705699552532005
root_relative_squared_error
0.4577919128761871
root_relative_squared_error
0.4490703220398632
root_relative_squared_error
0.47056896374560503
root_relative_squared_error
0.48708583696891694
root_relative_squared_error
0.4705696247499722
root_relative_squared_error
0.46208841324909045
root_relative_squared_error
0.44464478296461574
root_relative_squared_error
0.4577890191430585
root_relative_squared_error
0.45778676849967376
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
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
125
usercpu_time_millis
125
usercpu_time_millis
125
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
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
140.625
usercpu_time_millis_training
140.625
usercpu_time_millis_training
140.625
usercpu_time_millis_training
140.625
usercpu_time_millis_training
140.625
usercpu_time_millis_training
140.625
usercpu_time_millis_training
140.625
usercpu_time_millis_training
125
usercpu_time_millis_training
125
usercpu_time_millis_training
125