DEVELOPMENT... OpenML
Run
120964

Run 120964

Task 3705 (Supervised Classification) autoHorse 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
0.9797
Per class
Build CPU time
7.9675
Build memory
105960583.8829
F measure
0.9756
Per class
Kappa
0.9495
KB relative information score
194.3621
Mean absolute error
0.0244
Mean prior absolute error
0.4821
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9757
Per class
Predictive accuracy
0.9756
Prior entropy
0.9742
Recall
0.9756
Per class
Relative absolute error
0.0506
Root mean prior squared error
0.4909
Root mean squared error
0.1562
Root relative squared error
0.3181
SciMark benchmark
942.0692