GIOVEDI' -SABATO, IL MOMENTO PIU' CALDO AL C. SUD......,,,
GIOVEDI' -SABATO, IL MOMENTO PIU' CALDO AL C. SUD......,,,
Possibile un maggio poco estivo e tanto instabile, almeno al centro nord.
Ancora piogge questa settimana.....
IL MACHINE LEARNING by AMAZON FORECAST - https://d1.awsstatic.com/whitepapers/time-series-forecasting-principles-amazon-forecast.pdf?did=wp_card&trk=wp_card#page=12
Il pattern recognition nell'Applicare il Machine Learning -
True condition Total population Condition positive Condition negative Prevalence = Σ Condition positive/Σ Total populationAccuracy (ACC) = Σ True positive + Σ True negative/Σ Total populationPredicted
conditionPredicted condition
positiveTrue positive False positive,
Type I errorPositive predictive value (PPV), Precision = Σ True positive/Σ Predicted condition positiveFalse discovery rate (FDR) = Σ False positive/Σ Predicted condition positivePredicted condition
negativeFalse negative,
Type II errorTrue negative False omission rate (FOR) = Σ False negative/Σ Predicted condition negativeNegative predictive value (NPV) = Σ True negative/Σ Predicted condition negativeTrue positive rate (TPR), Recall, Sensitivity, probability of detection, Power = Σ True positive/Σ Condition positiveFalse positive rate (FPR), Fall-out, probability of false alarm = Σ False positive/Σ Condition negativePositive likelihood ratio (LR+) = TPR/FPRDiagnostic odds ratio (DOR) = LR+/LR−F1 score = 2 · Precision · Recall/Precision + RecallFalse negative rate (FNR), Miss rate = Σ False negative/Σ Condition positiveSpecificity (SPC), Selectivity, True negative rate (TNR)
[COLOR=rgba(0, 0, 0, 0.87)]In “[/COLOR]Machine Learning for Precipitation Nowcasting from Radar Images[COLOR=rgba(0, 0, 0, 0.87)],” [/COLOR]
Maggio, sino all'ultima decade possibile instabilità dominante con buone piogge al nord, poi fiammata africana:
Purtoppo per il sud possibile forte fiammata africana con punte over 36 che si spegnerà solo in ultima decade, con lieve instabilità (da confermare)
Rasoiata calda da "falla"....,,,,,