From: Forecasting and trading cryptocurrencies with machine learning under changing market conditions
Variables | Success rate (classification) | Success rate (regression) | MAE | RMSE | Theilās U2 |
---|---|---|---|---|---|
Validation sample | |||||
Linear (BTC) | 49.69 | 57.72 | 4.25 | 5.79 | 71.49 |
Linear (ETH) | 45.68 | 48.46 | 4.97 | 6.85 | 92.13 |
Linear (LTC) | 49.38 | 45.37 | 5.73 | 8.14 | 98.13 |
RF (BTC) | 57.10 | 56.17 | 4.30 | 5.77 | 93.80 |
RF (ETH) | 50.00 | 55.86 | 5.06 | 6.85 | 96.26 |
RF (LTC) | 51.23 | 47.84 | 5.99 | 8.34 | 94.93 |
SVM (BTC) | 49.07 | 52.16 | 7.86 | 19.69 | 127.13 |
SVM (ETH) | 53.40 | 53.40 | 8.26 | 15.65 | 59.44 |
SVM (LTC) | 54.32 | 50.93 | 11.96 | 33.28 | 144.60 |
Test sample | |||||
Linear (BTC) | 46.15 | 51.39 | 2.24 | 3.36 | 68.83 |
Linear (ETH) | 53.85 | 54.46 | 3.65 | 5.20 | 80.60 |
Linear (LTC) | 50.77 | 46.77 | 3.75 | 5.05 | 77.52 |
RF (BTC) | 48.92 | 50.15 | 2.42 | 3.46 | 107.86 |
RF (ETH) | 60.00 | 49.85 | 3.79 | 5.19 | 96.21 |
RF (LTC) | 50.15 | 46.46 | 3.72 | 4.98 | 103.70 |
SVM (BTC) | 51.08 | 50.15 | 2.98 | 4.25 | 625.61 |
SVM (ETH) | 56.92 | 53.54 | 3.71 | 5.28 | 65.86 |
SVM (LTC) | 55.69 | 59.69 | 3.59 | 4.98 | 43.87 |