Run
62296

Run 62296

Task 1717 (Learning Curve) mfeat-morphological Uploaded 16-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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)_I10
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
0.9358 ± 0.0095
Per class
Build CPU time
0.8049
Build memory
1246881352.7273
F measure
0.7065 ± 0.0366
Per class
Kappa
0.6756 ± 0.0357
KB relative information score
0.4304 ± 0.0172
Mean absolute error
0.1395 ± 0.0028
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7129 ± 0.0357
Per class
Predictive accuracy
0.708 ± 0.0322
Prior entropy
3.3219
Recall
0.708 ± 0.0322
Per class
Relative absolute error
0.7748 ± 0.0157
Root mean prior squared error
0.3
Root mean squared error
0.2402 ± 0.0038
Root relative squared error
0.8005 ± 0.0126
SciMark benchmark
1592.7924