Showing Predictor "Toy dataset 8"

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Notes:

Synthetic dataset from Hao, with 20 uncensored patients and a single feature taking values 1-3. Some overlap in the survival for different values

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Options
Regularization: L2	Tuning Score: avg log-likelihood loss
Time Points: 5	Tune Parameters: true
Feature Selection: false	Include Sibling Features: false
Standardize: true	Run Cross-Validation: true
Objective Function: log-likelihood	Marginal Loss Type: weighted
Use pre-defined Fold: No

Results
Start Time: 2017-09-22 11:48:40 -0600	Used Time: less than a minute
Label Name: SURVIVAL	C Parameter: 0.1
PSSP model: mtlr_model_file2847.mtlr	Version: 0.0.3

Predictor Settings / Retrain Show

Cross-validation results

5-Fold Cross-Validation Statistics*
Measure	PSSP Predictor (median)	PSSP Predictor (mean)	K-M Predictor
Concordance Index	0.88 ± 0.07	0.88 ± 0.07	0.5 ± 0.0
Hinged L1 Loss	1.36 ± 0.44		1.6 ± 0.25
Uncensored L1 loss	1.36 ± 0.44	1.25 ± 0.28	1.6 ± 0.25
Marginal L1 Loss	1.36 ± 0.44	1.25 ± 0.28	1.6 ± 0.25
Marginal L2 Loss	1.57 ± 0.47		2.0 ± 0.34
Hinged L1 Log-Loss	0.18 ± 0.07	0.17 ± 0.06	0.21 ± 0.05
Uncensored L1 Log-Loss	0.18 ± 0.07	0.17 ± 0.06	0.21 ± 0.05
Marginal L1 Log-Loss	0.16 ± 0.06	0.15 ± 0.06	0.18 ± 0.05
Log-Likelihood Loss	1.24 ± 0.17
D-calibration χ² statistics	20.0 ± 4.9		16.0 ± 0.0
D-calibration χ² p-value	0.45 ± 0.26		0.66 ± 0.0

*Mean value ± standard deviation.

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