DEVELOPMENT... OpenML
Run
165090

Run 165090

Task 3583 (Supervised Classification) rmftsa_ladata Uploaded 17-02-2015 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)_I160
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
0.9438
Per class
F measure
0.8733
Per class
Kappa
0.7416
KB relative information score
375.4977
Mean absolute error
0.1276
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
0.8748
Per class
Predictive accuracy
0.874
Prior entropy
0.9886
Recall
0.874
Per class
Relative absolute error
0.2593
Root mean prior squared error
0.496
Root mean squared error
0.3442
Root relative squared error
0.6939
SciMark benchmark
894.7455
UserCPU time millis
330
UserCPU time millis training
330