DEVELOPMENT... OpenML
Run
163322

Run 163322

Task 3521 (Supervised Classification) oh15.wc 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)_I40
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
0.5904
Per class
F measure
0.1701
Per class
Kappa
0.121
KB relative information score
108.4479
Mean absolute error
0.1598
Mean prior absolute error
0.1768
Number of instances
913
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2383
Per class
Predictive accuracy
0.2694
Prior entropy
3.2121
Recall
0.2694
Per class
Relative absolute error
0.9042
Root mean prior squared error
0.2973
Root mean squared error
0.2829
Root relative squared error
0.9517
SciMark benchmark
945.6434
UserCPU time millis
1320
UserCPU time millis training
1320