DEVELOPMENT... OpenML
Run
121038

Run 121038

Task 3818 (Supervised Classification) tae 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)_I40
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
0.7999
Per class
Build CPU time
2.2587
Build memory
2171329027.9735
F measure
0.8065
Per class
Kappa
0.5688
KB relative information score
74.7677
Mean absolute error
0.2237
Mean prior absolute error
0.4522
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8058
Per class
Predictive accuracy
0.8079
Prior entropy
0.9308
Recall
0.8079
Per class
Relative absolute error
0.4947
Root mean prior squared error
0.4752
Root mean squared error
0.4412
Root relative squared error
0.9285
SciMark benchmark
916.8903