DEVELOPMENT... OpenML
Run
162980

Run 162980

Task 3898 (Supervised Classification) kc1-top5 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)_I20
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
0.7144
Per class
F measure
0.9116
Per class
Kappa
0.1003
KB relative information score
-7.6296
Mean absolute error
0.08
Mean prior absolute error
0.1096
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9064
Per class
Predictive accuracy
0.9172
Prior entropy
0.3323
Recall
0.9172
Per class
Relative absolute error
0.7299
Root mean prior squared error
0.2284
Root mean squared error
0.2787
Root relative squared error
1.2204
SciMark benchmark
934.5243
UserCPU time millis
90
UserCPU time millis training
90