DEVELOPMENT... OpenML
Run
162881

Run 162881

Task 3799 (Supervised Classification) fri_c3_500_10 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
0.8483
Per class
F measure
0.7813
Per class
Kappa
0.5586
KB relative information score
252.5264
Mean absolute error
0.2512
Mean prior absolute error
0.4961
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
0.7818
Per class
Predictive accuracy
0.782
Prior entropy
0.9945
Recall
0.782
Per class
Relative absolute error
0.5062
Root mean prior squared error
0.4981
Root mean squared error
0.418
Root relative squared error
0.8392
SciMark benchmark
922.9039
UserCPU time millis
70
UserCPU time millis testing
10
UserCPU time millis training
60