DEVELOPMENT... OpenML
Run
121422

Run 121422

Task 3592 (Supervised Classification) fri_c2_100_5 Uploaded 11-12-2014 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)_I80
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
0.8977
Per class
Build CPU time
2.9261
Build memory
430301436
F measure
0.8497
Per class
Kappa
0.6862
KB relative information score
68.0865
Mean absolute error
0.1502
Mean prior absolute error
0.4804
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8495
Per class
Predictive accuracy
0.85
Prior entropy
0.9721
Recall
0.85
Per class
Relative absolute error
0.3126
Root mean prior squared error
0.4899
Root mean squared error
0.382
Root relative squared error
0.7797
SciMark benchmark
945.0532

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