Run
4516

Run 4516

Task 1 (Supervised Classification) anneal Uploaded 18-10-2024 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.classifiers.trees.REPTree(1)Weka implementation.
weka.classifiers.trees.REPTree(1)_M["2"]
weka.classifiers.trees.REPTree(1)_V["0.001"]
weka.classifiers.trees.REPTree(1)_N["3"]
weka.classifiers.trees.REPTree(1)_S["1"]
weka.classifiers.trees.REPTree(1)_P["false"]
weka.classifiers.trees.REPTree(1)_L["-1"]
weka.classifiers.trees.REPTree(1)_I["0.0"]
weka.classifiers.trees.REPTree(1)_R["false"]
weka.classifiers.trees.REPTree(1)_output-debug-info["false"]
weka.classifiers.trees.REPTree(1)_-do-not-check-capabilities["false"]

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
0.9759 ± 0.0168
Per class
F measure
0.9145 ± 0.0373
Per class
Kappa
0.7868 ± 0.0761
KB relative information score
0.75 ± 0.0502
Mean absolute error
0.0423 ± 0.0066
Mean prior absolute error
0.1343 ± 0.0012
Weighted recall
0.9176 ± 0.0295
Number of instances
898
Per class
OS information
['Eclipse Adoptium', '17.0.7', 'x86_64', 'Mac OS X', '12.5.1']
Precision
0.9153 ± 0.0396
Per class
Predictive accuracy
0.9176 ± 0.0295
Prior entropy
1.1915 ± 0.0248
Relative absolute error
0.3147 ± 0.0487
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.1389 ± 0.0179
Root relative squared error
0.5378 ± 0.0692