Run
117937

Run 117937

Task 40 (Supervised Classification) glass Uploaded 10-12-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_LADTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LADTree(2)_I20
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

21 Evaluation measures

Area under ROC curve
0.8982
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.7823
Cross-validation details (10-fold Crossvalidation)
Build memory
949759364.0374
Cross-validation details (10-fold Crossvalidation)
F measure
0.7469
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6585
Cross-validation details (10-fold Crossvalidation)
KB relative information score
140.0589
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0753
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2116
Cross-validation details (10-fold Crossvalidation)
Number of instances
214
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7484
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7523
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2315
Cross-validation details (10-fold Crossvalidation)
Recall
0.7523
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3559
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3244
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2508
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7731
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
916.8516