DEVELOPMENT... OpenML
Run
122068

Run 122068

Task 3695 (Supervised Classification) fri_c2_250_10 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
0.8871
Per class
Build CPU time
17.6368
Build memory
351821123.2
F measure
0.9027
Per class
Kappa
0.7877
KB relative information score
196.3117
Mean absolute error
0.096
Mean prior absolute error
0.4633
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9046
Per class
Predictive accuracy
0.904
Prior entropy
0.9468
Recall
0.904
Per class
Relative absolute error
0.2072
Root mean prior squared error
0.4812
Root mean squared error
0.3098
Root relative squared error
0.644
SciMark benchmark
931.6517