DEVELOPMENT... OpenML
Run
161944

Run 161944

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)_I10
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
0.9372
Per class
F measure
0.8791
Per class
Kappa
0.7534
KB relative information score
381.9426
Mean absolute error
0.1215
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
0.8813
Per class
Predictive accuracy
0.8799
Prior entropy
0.9886
Recall
0.8799
Per class
Relative absolute error
0.2469
Root mean prior squared error
0.496
Root mean squared error
0.3402
Root relative squared error
0.6858
SciMark benchmark
938.9865
UserCPU time millis
20
UserCPU time millis training
20