Run
434775

Run 434775

Task 70 (Learning Curve) balance-scale Uploaded 12-05-2015 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_DecisionStump(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(3)_C3
weka.MultiBoostAB_DecisionStump(3)_P100
weka.MultiBoostAB_DecisionStump(3)_S1
weka.MultiBoostAB_DecisionStump(3)_I80
weka.MultiBoostAB_DecisionStump(3)_Wweka.classifiers.trees.DecisionStump

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.

20 Evaluation measures

Area under ROC curve
0.8813 ± 0.0395
Per class
Kappa
0.4745 ± 0.0881
KB relative information score
0.2463 ± 0.0283
Mean absolute error
0.312 ± 0.0098
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
6250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.7166 ± 0.0476
Prior entropy
1.3181 ± 0.0119
Recall
0.7166 ± 0.0476
Per class
Relative absolute error
0.8215 ± 0.0255
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3601 ± 0.0114
Root relative squared error
0.8268 ± 0.026
SciMark benchmark
929.4364