Run
503399

Run 503399

Task 10042 (Learning Curve) ada_prior Uploaded 28-12-2015 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.ADTree(7)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(7)_B10
weka.ADTree(7)_E-3
weka.ADTree(7)_S1

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.

22 Evaluation measures

Area under ROC curve
0.8827 ± 0.0205
Per class
F measure
0.8384 ± 0.0198
Per class
Kappa
0.5542 ± 0.055
KB relative information score
975.5566 ± 17.8638
Mean absolute error
0.2841 ± 0.0103
Mean prior absolute error
0.3732 ± 0.0004
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.8374 ± 0.02
Per class
Predictive accuracy
0.8441 ± 0.0191
Prior entropy
0.8085
Recall
0.8441 ± 0.0191
Per class
Relative absolute error
0.7614 ± 0.0275
Root mean prior squared error
0.4319 ± 0.0005
Root mean squared error
0.3471 ± 0.0107
Root relative squared error
0.8037 ± 0.0247
SciMark benchmark
1678.2337
UserCPU time millis
330
UserCPU time millis testing
10
UserCPU time millis training
320