DEVELOPMENT... OpenML
Run
120019

Run 120019

Task 3914 (Supervised Classification) ar6 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)_I10
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
0.626
Per class
Build CPU time
0.8162
Build memory
734753381.9406
F measure
0.7997
Per class
Kappa
0.2406
KB relative information score
-5.7307
Mean absolute error
0.2164
Mean prior absolute error
0.2577
Number of instances
101
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8087
Per class
Predictive accuracy
0.7921
Prior entropy
0.623
Recall
0.7921
Per class
Relative absolute error
0.8397
Root mean prior squared error
0.3557
Root mean squared error
0.4476
Root relative squared error
1.2586
SciMark benchmark
923.3659