DEVELOPMENT... OpenML
Run
116477

Run 116477

Task 250 (Supervised Classification) mfeat-pixel Uploaded 09-12-2014 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)_I160
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
0.9979
Per class
Build CPU time
1276.68
Build memory
696899192
F measure
0.9486
Per class
Kappa
0.9427
KB relative information score
622.1767
Mean absolute error
0.0148
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9489
Per class
Predictive accuracy
0.9485
Prior entropy
3.3219
Recall
0.9485
Per class
Relative absolute error
0.0821
Root mean prior squared error
0.3
Root mean squared error
0.0845
Root relative squared error
0.2818
SciMark benchmark
924.2473