100numbers

Programari d'anàlisi predictiva

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This platform enables users to generate and analyze human-produced sequences of digits, examining patterns, randomness, and predictability in real-time experiments. It offers key features such as capturing spontaneous digit runs, locking blind predictions before revealing outcomes, and evaluating model accuracy through transparent metrics, hashes, and statistical comparisons, thereby revealing inherent human biases and tendencies in random-seeming data. Designed for researchers, data scientists, psychologists, and enthusiasts interested in human cognition, behavioral patterns, and the science of randomness, it addresses challenges related to understanding human biases, improving predictive models, and exploring the structure underlying subjective randomness.

100numbers es pot trobar a Predictive Analytics Software categories.

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Captures de pantalla

Detalls

Característiques principals de 100numbers

• Enter a Run
  You can type in digits at your own speed to see how random your numbers seem.
• Evaluate Results
  After the evaluation, you can compare your actual numbers, the prediction, and how accurate the prediction was.
• Commit Prediction
  After finishing your run, you can lock a prediction for your next set of taps to see how well it predicts your actions.
• Each Run Is a Test
  Every set of digits is treated as a separate experiment to analyze your behavior.
• Prediction Locking
  The system creates a prediction file before you see the actual numbers to keep the test fair.
• Account and Sign-in
  You can sign in with email, Google, or create an account to save your work and revisit previous experiments.
• Study Human Randomness
  The SaaS shows how people try to appear random but have small habits that can be measured.
• Transparency and Review
  You can review the prediction, the actual numbers, and how well the model predicted after each run.
• Real-Time Data Collection
  You can record new digit sequences in real time and test your randomness.
• Simple Experiment Process
  There are three easy steps: enter digits, lock a prediction, and then see how well the prediction matches your digits.
• Progress and History Tracking
  You can review past runs, accuracy, and measurement details to see your patterns over time.
• No Prior Viewing of Predictions
  You can commit predictions without looking at the results first, making the test unbiased.

Insígnies

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Còpia de la insígnia

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Còpia de la insígnia

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Tecnologies utilitzades

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