Run
64777

Run 64777

Task 1710 (Learning Curve) balance-scale Uploaded 18-11-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_LWL_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(2)_C3
weka.MultiBoostAB_LWL_DecisionStump(2)_P100
weka.MultiBoostAB_LWL_DecisionStump(2)_S1
weka.MultiBoostAB_LWL_DecisionStump(2)_I10
weka.MultiBoostAB_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL

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.

19 Evaluation measures

Area under ROC curve
0.8343 ± 0.0607
Per class
Build CPU time
1.4291
Build memory
250851929.6
Kappa
0.4718 ± 0.125
KB relative information score
0.4203 ± 0.0946
Mean absolute error
0.2113 ± 0.0412
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.7152 ± 0.0675
Prior entropy
1.3181 ± 0.0124
Recall
0.7152 ± 0.0675
Per class
Relative absolute error
0.5565 ± 0.1081
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3769 ± 0.0362
Root relative squared error
0.8653 ± 0.0831
SciMark benchmark
943.0474