DEVELOPMENT... OpenML
Run
120075

Run 120075

Task 30 (Supervised Classification) page-blocks 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)_I20
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
0.9809
Per class
Build CPU time
205.4686
Build memory
1184633953.776
F measure
0.9705
Per class
Kappa
0.8445
KB relative information score
4389.9892
Mean absolute error
0.0117
Mean prior absolute error
0.0762
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9703
Per class
Predictive accuracy
0.9708
Prior entropy
0.6391
Recall
0.9708
Per class
Relative absolute error
0.1537
Root mean prior squared error
0.1949
Root mean squared error
0.1028
Root relative squared error
0.5276
SciMark benchmark
924.6733