DEVELOPMENT... OpenML
Run
162349

Run 162349

Task 4001 (Supervised Classification) pc1_req Uploaded 16-02-2015 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)_I10
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
0.5452
Per class
F measure
0.5545
Per class
Kappa
0.0178
KB relative information score
48.8079
Mean absolute error
0.3651
Mean prior absolute error
0.4455
Number of instances
320
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5845
Per class
Predictive accuracy
0.6594
Prior entropy
0.9204
Recall
0.6594
Per class
Relative absolute error
0.8195
Root mean prior squared error
0.4718
Root mean squared error
0.5371
Root relative squared error
1.1386
SciMark benchmark
938.9865