DEVELOPMENT... OpenML
Run
44892

Run 44892

Task 4573 (Supervised Classification) glass Uploaded 30-10-2014 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)_I160
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
0.8344
Per class
Build CPU time
1.5433
Build memory
1483135353.428
F measure
0.8435
Per class
Kappa
0.6558
KB relative information score
1384.4785
Mean absolute error
0.1557
Mean prior absolute error
0.4584
Number of instances
2140
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8433
Per class
Predictive accuracy
0.8449
Prior entropy
0.9397
Recall
0.8449
Per class
Relative absolute error
0.3396
Root mean prior squared error
0.4786
Root mean squared error
0.3926
Root relative squared error
0.8204
SciMark benchmark
944.0386