DEVELOPMENT... OpenML
Run
165040

Run 165040

Task 3535 (Supervised Classification) tr41.wc Uploaded 17-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I160
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_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.

22 Evaluation measures

Area under ROC curve
0.7093
Per class
F measure
0.3023
Per class
Kappa
0.2745
KB relative information score
213.3329
Mean absolute error
0.1292
Mean prior absolute error
0.1652
Number of instances
878
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2301
Per class
Predictive accuracy
0.4579
Prior entropy
2.8041
Recall
0.4579
Per class
Relative absolute error
0.7824
Root mean prior squared error
0.2872
Root mean squared error
0.2545
Root relative squared error
0.886
SciMark benchmark
894.7455
UserCPU time millis
4030
UserCPU time millis training
4030