Run
10559905

Run 10559905

Task 2 (Supervised Classification) anneal Uploaded 08-06-2021 by Tan Zheng
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Flow

weka.classifiers.trees.LMT(1)Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Machine Learning. 95(1-2):161-205. Marc Sumner, Eibe Frank, Mark Hall: Speeding up Logistic Model Tree Induction. In: 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, 675-683, 2005.
weka.classifiers.trees.LMT(1)_B["false"]
weka.classifiers.trees.LMT(1)_R["false"]
weka.classifiers.trees.LMT(1)_C["false"]
weka.classifiers.trees.LMT(1)_P["false"]
weka.classifiers.trees.LMT(1)_I["-1"]
weka.classifiers.trees.LMT(1)_M["15"]
weka.classifiers.trees.LMT(1)_W["0.0"]
weka.classifiers.trees.LMT(1)_A["false"]
weka.classifiers.trees.LMT(1)_-doNotMakeSplitPointActualValue["false"]
weka.classifiers.trees.LMT(1)_output-debug-info["false"]
weka.classifiers.trees.LMT(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.

19 Evaluation measures

0.979 ± 0.0179
Per class
Cross-validation details (10-fold Crossvalidation)
0.9555 ± 0.0199
Per class
Cross-validation details (10-fold Crossvalidation)
0.8893 ± 0.0683
Cross-validation details (10-fold Crossvalidation)
0.8725 ± 0.0677
Cross-validation details (10-fold Crossvalidation)
0.0191 ± 0.0089
Cross-validation details (10-fold Crossvalidation)
0.1343 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
0.9555 ± 0.0301
Cross-validation details (10-fold Crossvalidation)
898
Per class
Cross-validation details (10-fold Crossvalidation)
['Azul Systems, Inc.', '11.0.9.1', 'amd64', 'Windows 10', '10.0']
0.9556 ± 0.0195
Per class
Cross-validation details (10-fold Crossvalidation)
0.9555 ± 0.0301
Cross-validation details (10-fold Crossvalidation)
1.1915 ± 0.0248
Cross-validation details (10-fold Crossvalidation)
0.1424 ± 0.0655
Cross-validation details (10-fold Crossvalidation)
0.2582 ± 0.0024
Cross-validation details (10-fold Crossvalidation)
0.1163 ± 0.033
Cross-validation details (10-fold Crossvalidation)
0.4505 ± 0.1252
Cross-validation details (10-fold Crossvalidation)
2127.2943