Run
10595178

Run 10595178

Task 3954 (Supervised Classification) MagicTelescope Uploaded 02-12-2024 by Francisco Pinto
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Flow

sklearn.ensemble._weight_boosting.AdaBoostClassifier(estimator=sklearn.tree ._classes.DecisionTreeClassifier)(1)An AdaBoost classifier. An AdaBoost [1]_ classifier is a meta-estimator that begins by fitting a classifier on the original dataset and then fits additional copies of the classifier on the same dataset but where the weights of incorrectly classified instances are adjusted such that subsequent classifiers focus more on difficult cases. This class implements the algorithm based on [2]_.
sklearn.ensemble._weight_boosting.AdaBoostClassifier(estimator=sklearn.tree._classes.DecisionTreeClassifier)(1)_algorithm"SAMME.R"
sklearn.ensemble._weight_boosting.AdaBoostClassifier(estimator=sklearn.tree._classes.DecisionTreeClassifier)(1)_learning_rate1.0
sklearn.ensemble._weight_boosting.AdaBoostClassifier(estimator=sklearn.tree._classes.DecisionTreeClassifier)(1)_n_estimators100
sklearn.ensemble._weight_boosting.AdaBoostClassifier(estimator=sklearn.tree._classes.DecisionTreeClassifier)(1)_random_state42
sklearn.tree._classes.DecisionTreeClassifier(51)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(51)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(51)_criterion"gini"
sklearn.tree._classes.DecisionTreeClassifier(51)_max_depth1
sklearn.tree._classes.DecisionTreeClassifier(51)_max_featuresnull
sklearn.tree._classes.DecisionTreeClassifier(51)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(51)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(51)_min_samples_leaf1
sklearn.tree._classes.DecisionTreeClassifier(51)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(51)_min_weight_fraction_leaf0.0
sklearn.tree._classes.DecisionTreeClassifier(51)_monotonic_cstnull
sklearn.tree._classes.DecisionTreeClassifier(51)_random_state47224
sklearn.tree._classes.DecisionTreeClassifier(51)_splitter"best"

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

0.9009 ± 0.0052
Per class
Cross-validation details (10-fold Crossvalidation)
0.8441 ± 0.007
Per class
Cross-validation details (10-fold Crossvalidation)
0.6541 ± 0.0156
Cross-validation details (10-fold Crossvalidation)
-0.144 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
0.4944 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.456 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.8465 ± 0.0068
Cross-validation details (10-fold Crossvalidation)
19020
Per class
Cross-validation details (10-fold Crossvalidation)
0.8448 ± 0.0071
Per class
Cross-validation details (10-fold Crossvalidation)
0.8465 ± 0.0068
Cross-validation details (10-fold Crossvalidation)
0.9355 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
1.0843 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
0.4775 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.4945 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
1.0356 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
0.8183 ± 0.0084
Cross-validation details (10-fold Crossvalidation)