DEVELOPMENT... OpenML
Run
38701

Run 38701

Task 3859 (Supervised Classification) prnn_fglass 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)_I40
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
0.8447
Per class
Build CPU time
0.4476
Build memory
73423124.2991
F measure
0.8362
Per class
Kappa
0.6419
KB relative information score
133.6957
Mean absolute error
0.1661
Mean prior absolute error
0.4584
Number of instances
214
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.836
Per class
Predictive accuracy
0.8364
Prior entropy
0.9397
Recall
0.8364
Per class
Relative absolute error
0.3623
Root mean prior squared error
0.4786
Root mean squared error
0.4027
Root relative squared error
0.8415
SciMark benchmark
940.0668