DEVELOPMENT... OpenML
Run
120116

Run 120116

Task 270 (Supervised Classification) glass Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I20
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.8797
Per class
Build CPU time
6.541
Build memory
689986096
F measure
0.7162
Per class
Kappa
0.6128
KB relative information score
46.1499
Mean absolute error
0.0812
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
0.7253
Per class
Predictive accuracy
0.7143
Prior entropy
2.2315
Recall
0.7143
Per class
Relative absolute error
0.382
Root mean prior squared error
0.3261
Root mean squared error
0.2763
Root relative squared error
0.8471
SciMark benchmark
924.6733