DEVELOPMENT... OpenML
Run
117404

Run 117404

Task 30 (Supervised Classification) page-blocks Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I40
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.9865
Per class
Build CPU time
28.2518
Build memory
2241696110.5836
F measure
0.9678
Per class
Kappa
0.8286
KB relative information score
4230.3734
Mean absolute error
0.0154
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
0.9674
Per class
Predictive accuracy
0.9684
Prior entropy
0.6391
Recall
0.9684
Per class
Relative absolute error
0.2026
Root mean prior squared error
0.1949
Root mean squared error
0.1025
Root relative squared error
0.5258
SciMark benchmark
916.8516