DEVELOPMENT... OpenML
Run
119952

Run 119952

Task 3837 (Supervised Classification) hayes-roth 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
0.8893
Per class
Build CPU time
0.5327
Build memory
1752347216.3636
F measure
0.7871
Per class
Kappa
0.5494
KB relative information score
76.2646
Mean absolute error
0.1966
Mean prior absolute error
0.4746
Number of instances
132
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7866
Per class
Predictive accuracy
0.7879
Prior entropy
0.9635
Recall
0.7879
Per class
Relative absolute error
0.4144
Root mean prior squared error
0.4869
Root mean squared error
0.3726
Root relative squared error
0.7653
SciMark benchmark
874.7324