DEVELOPMENT... OpenML
Run
118615

Run 118615

Task 3549 (Supervised Classification) analcatdata_authorship 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)_I10
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
0.9986
Per class
Build CPU time
8.1437
Build memory
1016340691.3389
F measure
0.9822
Per class
Kappa
0.974
KB relative information score
821.2897
Mean absolute error
0.0082
Mean prior absolute error
0.3439
Number of instances
841
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9822
Per class
Predictive accuracy
0.9822
Prior entropy
1.7898
Recall
0.9822
Per class
Relative absolute error
0.0239
Root mean prior squared error
0.4146
Root mean squared error
0.0853
Root relative squared error
0.2058
SciMark benchmark
916.8516