DEVELOPMENT... OpenML
Run
164117

Run 164117

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)_I80
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
0.9426
Per class
F measure
0.8714
Per class
Kappa
0.738
KB relative information score
374.2015
Mean absolute error
0.1288
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
0.8724
Per class
Predictive accuracy
0.872
Prior entropy
0.9886
Recall
0.872
Per class
Relative absolute error
0.2618
Root mean prior squared error
0.496
Root mean squared error
0.3441
Root relative squared error
0.6938
SciMark benchmark
936.6206
UserCPU time millis
170
UserCPU time millis training
170