DEVELOPMENT... OpenML
Run
139465

Run 139465

Task 270 (Supervised Classification) glass Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_REPTree(2)_I10
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.887
Per class
Build CPU time
0.017
Build memory
508390344
F measure
0.7039
Per class
Kappa
0.6061
KB relative information score
44.0233
Mean absolute error
0.1015
Mean prior absolute error
0.2127
Number of instances
70
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7069
Per class
Predictive accuracy
0.7143
Prior entropy
2.2315
Recall
0.7143
Per class
Relative absolute error
0.4772
Root mean prior squared error
0.3261
Root mean squared error
0.2422
Root relative squared error
0.7427
SciMark benchmark
942.573