Run
57590

Run 57590

Task 1731 (Learning Curve) pendigits Uploaded 13-11-2014 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_RandomForest(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_RandomForest(2)_I10
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.9996 ± 0.0005
Per class
Build CPU time
0.7644
Build memory
1213786215.35
F measure
0.9924 ± 0.0032
Per class
Kappa
0.9915 ± 0.0035
KB relative information score
0.9712 ± 0.002
Mean absolute error
0.0108 ± 0.0006
Mean prior absolute error
0.18 ± 0
Number of instances
10992
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9924 ± 0.0031
Per class
Predictive accuracy
0.9924 ± 0.0032
Prior entropy
3.3208 ± 0.0002
Recall
0.9924 ± 0.0032
Per class
Relative absolute error
0.0598 ± 0.0034
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0489 ± 0.003
Root relative squared error
0.163 ± 0.0099
SciMark benchmark
1896.1731