DEVELOPMENT... OpenML
Run
162821

Run 162821

Task 3740 (Supervised Classification) fri_c1_100_50 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
0.8005
Per class
F measure
0.7124
Per class
Kappa
0.4255
KB relative information score
42.2644
Mean absolute error
0.285
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
0.7579
Per class
Predictive accuracy
0.73
Prior entropy
0.99
Recall
0.73
Per class
Relative absolute error
0.5782
Root mean prior squared error
0.4964
Root mean squared error
0.4743
Root relative squared error
0.9555
SciMark benchmark
922.9039
UserCPU time millis
60
UserCPU time millis training
60