10589104
32117
VAIBHAV JAISWAL
9983
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.
1471
eeg-eye-state
https://www.openml.org/data/download/1587924/phplE7q6h
-1
22105775
description
https://api.openml.org/data/download/22105775/description.xml
-1
22105776
predictions
https://api.openml.org/data/download/22105776/predictions.arff
area_under_roc_curve
0.8404139796484031 [0.840414,0.840414]
average_cost
0
f_measure
0.8423957212026173 [0.857557,0.823775]
kappa
0.6813363121476352
kb_relative_information_score
0.6800937186852805
mean_absolute_error
0.157543391188251
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.842456608811749 [0.860361,0.820467]
number_of_instances
14980 [8257,6723]
precision
0.8423568988773851 [0.854771,0.827111]
predictive_accuracy
0.842456608811749
prior_entropy
0.9924223735239917
relative_absolute_error
0.3184254787357659
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.3969173606536391
root_relative_squared_error
0.7980299858443732
total_cost
0
unweighted_recall
0.8404139796484031 [0.860361,0.820467]
area_under_roc_curve
0.8392857142857143 [0.839286,0.839286]
area_under_roc_curve
0.8459443099273607 [0.845944,0.845944]
area_under_roc_curve
0.8577481840193705 [0.857748,0.857748]
area_under_roc_curve
0.8259433010492334 [0.825943,0.825943]
area_under_roc_curve
0.8133323244552058 [0.813332,0.813332]
area_under_roc_curve
0.8564114205004035 [0.856411,0.856411]
area_under_roc_curve
0.848781779661017 [0.848782,0.848782]
area_under_roc_curve
0.8439263361700212 [0.843926,0.843926]
area_under_roc_curve
0.8363014993921383 [0.836301,0.836301]
area_under_roc_curve
0.8364383808365979 [0.836438,0.836438]
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
0.8410991631164036 [0.856106,0.822653]
f_measure
0.8483161690236688 [0.863664,0.829452]
f_measure
0.8579887963306199 [0.869405,0.843956]
f_measure
0.8293643501394915 [0.848305,0.806084]
f_measure
0.8167023935450614 [0.83671,0.792109]
f_measure
0.8583952689149345 [0.872289,0.841317]
f_measure
0.8510129622986332 [0.865905,0.832708]
f_measure
0.8451878739887682 [0.858881,0.828402]
f_measure
0.8378163475786703 [0.852459,0.819867]
f_measure
0.8378373604816711 [0.85228,0.820133]
kappa
0.6787597446829982
kappa
0.6931386049802281
kappa
0.7134180844241578
kappa
0.6545196702837534
kappa
0.6289330464498165
kappa
0.7136147863852136
kappa
0.6986296179349542
kappa
0.6872882103221093
kappa
0.6723269115478718
kappa
0.6724165549266117
kb_relative_information_score
0.6773633461052658
kb_relative_information_score
0.6922751242264519
kb_relative_information_score
0.7112537509261421
kb_relative_information_score
0.6543178708270682
kb_relative_information_score
0.6285611631632004
kb_relative_information_score
0.712609367118977
kb_relative_information_score
0.6976975889977917
kb_relative_information_score
0.68555975378931
kb_relative_information_score
0.6706509490120776
kb_relative_information_score
0.6706509490120776
mean_absolute_error
0.1588785046728972
mean_absolute_error
0.15153538050734314
mean_absolute_error
0.14218958611481977
mean_absolute_error
0.17022696929238984
mean_absolute_error
0.1829105473965287
mean_absolute_error
0.14152202937249667
mean_absolute_error
0.14886515353805074
mean_absolute_error
0.1548731642189586
mean_absolute_error
0.16221628838451269
mean_absolute_error
0.16221628838451269
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.49480533738838384
mean_prior_absolute_error
0.49480533738838384
mean_prior_absolute_error
0.49480533738838384
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [825,673]
number_of_instances
1498 [825,673]
number_of_instances
1498 [825,673]
precision
0.8410798506451892 [0.855072,0.823881]
precision
0.8482967840299002 [0.856973,0.837633]
precision
0.858505411695172 [0.880745,0.831169]
precision
0.8295860822776359 [0.833918,0.824261]
precision
0.8168135865917417 [0.823944,0.80805]
precision
0.8583619761099127 [0.868106,0.846386]
precision
0.8509837386248594 [0.860215,0.839637]
precision
0.8452761732736406 [0.862027,0.824742]
precision
0.8378557421787624 [0.854015,0.818047]
precision
0.8379097760488574 [0.854878,0.817109]
predictive_accuracy
0.8411214953271028
predictive_accuracy
0.8484646194926568
predictive_accuracy
0.8578104138851802
predictive_accuracy
0.8297730307076101
predictive_accuracy
0.8170894526034713
predictive_accuracy
0.8584779706275033
predictive_accuracy
0.8511348464619491
predictive_accuracy
0.8451268357810414
predictive_accuracy
0.8377837116154874
predictive_accuracy
0.8377837116154874
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.992560912165838
prior_entropy
0.992560912165838
prior_entropy
0.992560912165838
relative_absolute_error
0.3211373092926593
relative_absolute_error
0.3062948286110659
relative_absolute_error
0.28740439865267414
relative_absolute_error
0.34407568852784925
relative_absolute_error
0.3697127006142381
relative_absolute_error
0.28605508222707476
relative_absolute_error
0.30089756290866826
relative_absolute_error
0.31299816820164
relative_absolute_error
0.3278385985905109
relative_absolute_error
0.3278385985905109
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4974195830102464
root_mean_prior_squared_error
0.4974195830102464
root_mean_prior_squared_error
0.4974195830102464
root_mean_squared_error
0.3985956656474041
root_mean_squared_error
0.3892754558244626
root_mean_squared_error
0.37708034437612864
root_mean_squared_error
0.4125857114496209
root_mean_squared_error
0.4276804267166417
root_mean_squared_error
0.3761941378763054
root_mean_squared_error
0.38583047253690417
root_mean_squared_error
0.3935392791310146
root_mean_squared_error
0.40276083273391006
root_mean_squared_error
0.40276083273391006
root_relative_squared_error
0.8014375512248618
root_relative_squared_error
0.7826978438442811
root_relative_squared_error
0.7581777070279597
root_relative_squared_error
0.8295666780959264
root_relative_squared_error
0.8599169118858218
root_relative_squared_error
0.7563958533142613
root_relative_squared_error
0.7757711780324312
root_relative_squared_error
0.7911616119924817
root_relative_squared_error
0.8097003947784129
root_relative_squared_error
0.8097003947784129
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
0.8392857142857142 [0.857143,0.821429]
unweighted_recall
0.8459443099273607 [0.87046,0.821429]
unweighted_recall
0.8577481840193704 [0.858354,0.857143]
unweighted_recall
0.8259433010492332 [0.863196,0.78869]
unweighted_recall
0.8133323244552058 [0.849879,0.776786]
unweighted_recall
0.8564114205004036 [0.876513,0.83631]
unweighted_recall
0.8487817796610169 [0.871671,0.825893]
unweighted_recall
0.8439263361700211 [0.855758,0.832095]
unweighted_recall
0.8363014993921383 [0.850909,0.821694]
unweighted_recall
0.8364383808365978 [0.849697,0.82318]
usercpu_time_millis
171.875
usercpu_time_millis
171.875
usercpu_time_millis
187.5
usercpu_time_millis
187.5
usercpu_time_millis
187.5
usercpu_time_millis
187.5
usercpu_time_millis
187.5
usercpu_time_millis
187.5
usercpu_time_millis
187.5
usercpu_time_millis
187.5
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
15.625
usercpu_time_millis_testing
15.625
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_training
171.875
usercpu_time_millis_training
171.875
usercpu_time_millis_training
171.875
usercpu_time_millis_training
187.5
usercpu_time_millis_training
171.875
usercpu_time_millis_training
171.875
usercpu_time_millis_training
171.875
usercpu_time_millis_training
187.5
usercpu_time_millis_training
187.5
usercpu_time_millis_training
171.875
wall_clock_time_millis
184.89694595336914
wall_clock_time_millis
179.9173355102539
wall_clock_time_millis
186.87081336975098
wall_clock_time_millis
185.9145164489746
wall_clock_time_millis
179.87728118896484
wall_clock_time_millis
180.89580535888672
wall_clock_time_millis
180.91893196105957
wall_clock_time_millis
186.87176704406738
wall_clock_time_millis
176.896333694458
wall_clock_time_millis
178.8778305053711
wall_clock_time_millis_testing
3.9997100830078125
wall_clock_time_millis_testing
3.000020980834961
wall_clock_time_millis_testing
2.999544143676758
wall_clock_time_millis_testing
2.99835205078125
wall_clock_time_millis_testing
2.9997825622558594
wall_clock_time_millis_testing
2.999544143676758
wall_clock_time_millis_testing
1.9984245300292969
wall_clock_time_millis_testing
2.9993057250976562
wall_clock_time_millis_testing
3.000020980834961
wall_clock_time_millis_testing
2.999544143676758
wall_clock_time_millis_training
180.89723587036133
wall_clock_time_millis_training
176.91731452941895
wall_clock_time_millis_training
183.87126922607422
wall_clock_time_millis_training
182.91616439819336
wall_clock_time_millis_training
176.87749862670898
wall_clock_time_millis_training
177.89626121520996
wall_clock_time_millis_training
178.92050743103027
wall_clock_time_millis_training
183.87246131896973
wall_clock_time_millis_training
173.89631271362305
wall_clock_time_millis_training
175.87828636169434
weighted_recall
0.8411214953271028 [0.857143,0.821429]
weighted_recall
0.8484646194926568 [0.87046,0.821429]
weighted_recall
0.8578104138851802 [0.858354,0.857143]
weighted_recall
0.8297730307076101 [0.863196,0.78869]
weighted_recall
0.8170894526034713 [0.849879,0.776786]
weighted_recall
0.8584779706275033 [0.876513,0.83631]
weighted_recall
0.8511348464619493 [0.871671,0.825893]
weighted_recall
0.8451268357810414 [0.855758,0.832095]
weighted_recall
0.8377837116154874 [0.850909,0.821694]
weighted_recall
0.8377837116154874 [0.849697,0.82318]