DEVELOPMENT... OpenML
Run
37420

Run 37420

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)_I20
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
0.979
Per class
Build CPU time
0.047
Build memory
131755784.9697
F measure
0.9508
Per class
Kappa
0.896
KB relative information score
234.5898
Mean absolute error
0.0515
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
0.9509
Per class
Predictive accuracy
0.9508
Prior entropy
0.9604
Recall
0.9508
Per class
Relative absolute error
0.109
Root mean prior squared error
0.486
Root mean squared error
0.2231
Root relative squared error
0.459
SciMark benchmark
945.2151