DEVELOPMENT... OpenML
Run
162814

Run 162814

Task 3734 (Supervised Classification) fri_c1_500_5 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
0.8535
Per class
F measure
0.7935
Per class
Kappa
0.5846
KB relative information score
275.3392
Mean absolute error
0.2278
Mean prior absolute error
0.4977
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
0.7941
Per class
Predictive accuracy
0.794
Prior entropy
0.9967
Recall
0.794
Per class
Relative absolute error
0.4577
Root mean prior squared error
0.4988
Root mean squared error
0.4194
Root relative squared error
0.8408
SciMark benchmark
933.8635
UserCPU time millis
40
UserCPU time millis training
40