DEVELOPMENT... OpenML
Run
116640

Run 116640

Task 3641 (Supervised Classification) fri_c2_100_25 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
0.8252
Per class
Build CPU time
2.8162
Build memory
602854464
F measure
0.8297
Per class
Kappa
0.6522
KB relative information score
65.0017
Mean absolute error
0.17
Mean prior absolute error
0.4904
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8296
Per class
Predictive accuracy
0.83
Prior entropy
0.9864
Recall
0.83
Per class
Relative absolute error
0.3467
Root mean prior squared error
0.4951
Root mean squared error
0.4123
Root relative squared error
0.8328
SciMark benchmark
939.6298