MyMediaLite
3.02
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Evaluation class for rating prediction. More...
Static Public Member Functions | |
static double | ComputeCBD (double actual_rating, double prediction, double min_rating, double max_rating) |
Compute the capped binomial deviation (CBD) | |
static double | ComputeFit (this RatingPredictor recommender) |
Computes the RMSE fit of a recommender on the training data. | |
static RatingPredictionEvaluationResults | Evaluate (this IRatingPredictor recommender, IRatings test_ratings, IRatings training_ratings=null) |
Evaluates a rating predictor for RMSE, (N)MAE, and CBD. | |
Properties | |
static ICollection< string > | Measures [get] |
the evaluation measures for rating prediction offered by the class |
Evaluation class for rating prediction.
static double ComputeCBD | ( | double | actual_rating, |
double | prediction, | ||
double | min_rating, | ||
double | max_rating | ||
) | [inline, static] |
Compute the capped binomial deviation (CBD)
http://www.kaggle.com/c/ChessRatings2/Details/Evaluation
actual_rating | the actual rating |
prediction | the predicted rating |
min_rating | the lower bound of the rating scale |
max_rating | the upper bound of the rating scale |
static double ComputeFit | ( | this RatingPredictor | recommender | ) | [inline, static] |
Computes the RMSE fit of a recommender on the training data.
recommender | the rating predictor to evaluate |
static RatingPredictionEvaluationResults Evaluate | ( | this IRatingPredictor | recommender, |
IRatings | test_ratings, | ||
IRatings | training_ratings = null |
||
) | [inline, static] |
Evaluates a rating predictor for RMSE, (N)MAE, and CBD.
See http://recsyswiki.com/wiki/Root_mean_square_error and http://recsyswiki.com/wiki/Mean_absolute_error
For NMAE, see the paper by Goldberg et al.
For CBD (capped binomial deviance), see http://www.kaggle.com/c/ChessRatings2/Details/Evaluation
If the recommender can take time into account, and the rating dataset provides rating times, this information will be used for making rating predictions.
Literature:
recommender | rating predictor |
test_ratings | test cases |
training_ratings | the training examples |
ICollection<string> Measures [static, get] |
the evaluation measures for rating prediction offered by the class
See http://recsyswiki.com/wiki/Root_mean_square_error and http://recsyswiki.com/wiki/Mean_absolute_error