Run
51652

Run 51652

Task 1740 (Learning Curve) soybean Uploaded 06-11-2014 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.MultiBoostAB_RandomTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001
weka.MultiBoostAB_RandomTree(2)_C3
weka.MultiBoostAB_RandomTree(2)_P100
weka.MultiBoostAB_RandomTree(2)_S1
weka.MultiBoostAB_RandomTree(2)_I10
weka.MultiBoostAB_RandomTree(2)_Wweka.classifiers.trees.RandomTree

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
0.9648 ± 0.0348
Per class
Build CPU time
0.0104
Build memory
2672538243.3
F measure
0.9033 ± 0.028
Per class
Kappa
0.894 ± 0.0812
KB relative information score
0.909 ± 0.0725
Mean absolute error
0.0106 ± 0.0078
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9077 ± 0.0244
Per class
Predictive accuracy
0.9034 ± 0.0742
Prior entropy
3.8358 ± 0.0227
Recall
0.9034 ± 0.0742
Per class
Relative absolute error
0.1103 ± 0.0813
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.0969 ± 0.0275
Root relative squared error
0.4423 ± 0.1259
SciMark benchmark
1684.583