Help using App

[HyakuzaO]

Hello everyone, can someone please help me? I'm using Python 3.9 as requested, everything is set up correctly, but whenever I use the file it always returns without betting any value as shown in the image. I'll also leave the file I'm using, so if anyone can help me find the error and the solution, I would greatly appreciate it as I would love to execute this project in my environment.
new 1.txt

[HyakuzaO]

Please don't take offense at my questions, I'm just seeking help, and probably for someone who understands, it's an easy fix. Thank you in advance if anyone helps me.

I use the file attached named New 1.

[georgedouzas]

Hi @HyakuzaO,

Please post the content of the file.

[HyakuzaO]

from sportsbet.datasets import SoccerDataLoader
from sportsbet.evaluation import ClassifierBettor
from sklearn.compose import make_column_transformer
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.impute import SimpleImputer
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import OneHotEncoder
from sklearn.multioutput import MultiOutputClassifier
from sklearn.model_selection import TimeSeriesSplit

Parâmetros

leagues = ['England', 'Scotland', 'Germany', 'Italy', 'Spain', 'France', 'Netherlands', 'Belgium', 'Portugal', 'Turkey', 'Greece']
years = [2017, 2018, 2019, 2020, 2021, 2022, 2023]
odds_type = 'market_maximum'
drop_na_thres = 0.8

Criação do dataloader

dataloader = SoccerDataLoader({'league': leagues, 'year': years})
X_train, Y_train, O_train = dataloader.extract_train_data(drop_na_thres=drop_na_thres, odds_type=odds_type)
X_fix, _, O_fix = dataloader.extract_fixtures_data()

Configuração do classificador

classifier = make_pipeline(
make_column_transformer(
(OneHotEncoder(handle_unknown='ignore'), ['league', 'home_team', 'away_team']),
remainder='passthrough'
),
SimpleImputer(),
MultiOutputClassifier(GradientBoostingClassifier(random_state=5)),
)

Backtesting

tscv = TimeSeriesSplit(5)
init_cash = 1000
bettor = ClassifierBettor(classifier)
bettor.backtest(X_train, Y_train, O_train, tscv=tscv, init_cash=init_cash)
print(bettor.backtest_results_[['Sharpe Ratio', 'Total Return [%]', 'Testing Period']].mean())

Previsão e exibição de apostas de valor

value_bets = bettor.bet(X_fix, O_fix)

Imprime as apostas de valor identificadas

print("Apostas de valor identificadas:")
print(value_bets)

[HyakuzaO]

I use that script @georgedouzas

[georgedouzas]

Solution: Check that your X_fix is empty. Therefore no value bets are predicted. Add 'data_source': ['footballdata'] to your parameters grid: dataloader = SoccerDataLoader({'league': leagues, 'year': years, 'data_source': ['footballdata']}). Retry to download the data.

Explanation: The reason is that FiveThirtyEight does not update anymore their data. Therefore no fixtures data can be downloaded: your data source should include only the FootballData data source.