DEVELOPMENT... OpenML
Run
162662

Run 162662

Task 3583 (Supervised Classification) rmftsa_ladata 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
0.9367
Per class
F measure
0.8794
Per class
Kappa
0.7541
KB relative information score
381.004
Mean absolute error
0.1228
Mean prior absolute error
0.4921
Number of instances
508
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8804
Per class
Predictive accuracy
0.8799
Prior entropy
0.9886
Recall
0.8799
Per class
Relative absolute error
0.2495
Root mean prior squared error
0.496
Root mean squared error
0.3348
Root relative squared error
0.6751
SciMark benchmark
922.9039
UserCPU time millis
60
UserCPU time millis training
60