DEVELOPMENT... OpenML
Run
39157

Run 39157

Task 3676 (Supervised Classification) rmftsa_ctoarrivals Uploaded 28-10-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I40
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.9649
Per class
Build CPU time
0.088
Build memory
881065042.5152
F measure
0.9546
Per class
Kappa
0.9041
KB relative information score
237.4997
Mean absolute error
0.0461
Mean prior absolute error
0.4726
Number of instances
264
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9548
Per class
Predictive accuracy
0.9545
Prior entropy
0.9604
Recall
0.9545
Per class
Relative absolute error
0.0976
Root mean prior squared error
0.486
Root mean squared error
0.2086
Root relative squared error
0.4292
SciMark benchmark
941.9633