DEVELOPMENT... OpenML
Run
164330

Run 164330

Task 3795 (Supervised Classification) fri_c4_100_50 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)_I80
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
0.7829
Per class
F measure
0.7206
Per class
Kappa
0.4342
KB relative information score
45.851
Mean absolute error
0.2641
Mean prior absolute error
0.4929
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7383
Per class
Predictive accuracy
0.73
Prior entropy
0.99
Recall
0.73
Per class
Relative absolute error
0.5359
Root mean prior squared error
0.4964
Root mean squared error
0.4874
Root relative squared error
0.9819
SciMark benchmark
938.2848
UserCPU time millis
140
UserCPU time millis training
140