DEVELOPMENT... OpenML
Run
122200

Run 122200

Task 3852 (Supervised Classification) anneal Uploaded 13-12-2014 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)_I160
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
0.9822
Per class
Build CPU time
86.8089
Build memory
99052382.8062
F measure
0.9489
Per class
Kappa
0.8598
KB relative information score
756.3675
Mean absolute error
0.0502
Mean prior absolute error
0.3633
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9491
Per class
Predictive accuracy
0.9488
Prior entropy
0.7932
Recall
0.9488
Per class
Relative absolute error
0.1381
Root mean prior squared error
0.426
Root mean squared error
0.2135
Root relative squared error
0.5012
SciMark benchmark
937.9406