DEVELOPMENT... OpenML
Run
40534

Run 40534

Task 3676 (Supervised Classification) rmftsa_ctoarrivals Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I80
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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.

21 Evaluation measures

Area under ROC curve
0.9527
Per class
Build CPU time
0.1749
Build memory
1051810715.7879
F measure
0.947
Per class
Kappa
0.8877
KB relative information score
233.6769
Mean absolute error
0.0527
Mean prior absolute error
0.4726
Number of instances
264
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.947
Per class
Predictive accuracy
0.947
Prior entropy
0.9604
Recall
0.947
Per class
Relative absolute error
0.1114
Root mean prior squared error
0.486
Root mean squared error
0.2274
Root relative squared error
0.4678
SciMark benchmark
938.2803