OpenML
10594105

Run 10594105

Task 3954 (Supervised Classification) MagicTelescope Uploaded 02-02-2024 by Jano P
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Flow

HROCH.classifier.SymbolicClassifier(estimator=HROCH.classifier.NonlinearLog isticRegressor)(1)OVR multiclass symbolic classificator
HROCH.classifier.NonlinearLogisticRegressor(1)_algo_settingsnull
HROCH.classifier.NonlinearLogisticRegressor(1)_class_weightnull
HROCH.classifier.NonlinearLogisticRegressor(1)_code_settingsnull
HROCH.classifier.NonlinearLogisticRegressor(1)_const_settingsnull
HROCH.classifier.NonlinearLogisticRegressor(1)_cv_paramsnull
HROCH.classifier.NonlinearLogisticRegressor(1)_feature_probsnull
HROCH.classifier.NonlinearLogisticRegressor(1)_init_const_settingsnull
HROCH.classifier.NonlinearLogisticRegressor(1)_iter_limit0
HROCH.classifier.NonlinearLogisticRegressor(1)_metric"LogLoss"
HROCH.classifier.NonlinearLogisticRegressor(1)_num_threads1
HROCH.classifier.NonlinearLogisticRegressor(1)_population_settingsnull
HROCH.classifier.NonlinearLogisticRegressor(1)_precision"f32"
HROCH.classifier.NonlinearLogisticRegressor(1)_problem"math"
HROCH.classifier.NonlinearLogisticRegressor(1)_random_state0
HROCH.classifier.NonlinearLogisticRegressor(1)_target_clipnull
HROCH.classifier.NonlinearLogisticRegressor(1)_time_limit5.0
HROCH.classifier.NonlinearLogisticRegressor(1)_transformation"LOGISTIC"
HROCH.classifier.NonlinearLogisticRegressor(1)_verbose0
HROCH.classifier.NonlinearLogisticRegressor(1)_warm_startfalse

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

18 Evaluation measures

Area under ROC curve
0.8531 ± 0.0136
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7939 ± 0.0191
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5378 ± 0.043
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.4144 ± 0.0296
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.276 ± 0.0136
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.456 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.8052 ± 0.0171
Cross-validation details (10-fold Crossvalidation)
Number of instances
19020
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8093 ± 0.0201
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8052 ± 0.0171
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9355 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6054 ± 0.0298
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4775 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3728 ± 0.0097
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7807 ± 0.0202
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.7486 ± 0.0224
Cross-validation details (10-fold Crossvalidation)