DEVELOPMENT... OpenML
Run
162870

Run 162870

Task 3789 (Supervised Classification) fri_c0_500_25 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
0.8633
Per class
F measure
0.7613
Per class
Kappa
0.5251
KB relative information score
257.1772
Mean absolute error
0.2451
Mean prior absolute error
0.4998
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7673
Per class
Predictive accuracy
0.762
Prior entropy
0.9997
Recall
0.762
Per class
Relative absolute error
0.4903
Root mean prior squared error
0.4999
Root mean squared error
0.4279
Root relative squared error
0.856
SciMark benchmark
933.8635
UserCPU time millis
110
UserCPU time millis training
110