Is it possible to achieve 100 percent accuracy?

The answer is “NO”. A high accuracy measured on the training set is the result of Overfitting. So, what does this overfitting means? Overfitting occurs when our machine learning model tries to cover all the data points or more than the required data points present in the given dataset.

Is 100% accuracy bad in machine learning?

Achieving 100% machine learning model accuracy is typically a sign of some error, such as overfitting; that is, the model learns the characteristics of the training set so specifically that it cannot generalize to unseen data in the validation and evaluation sets.

Is 70% a good accuracy?

There is a general rule when it comes to understanding accuracy scores: Over 90% - Very good. Between 70% and 90% - Good. Between 60% and 70% - OK.

Is 99 percent accuracy good in machine learning?

Like we said earlier: good accuracy in machine learning is subjective. But in our opinion, anything greater than 70% is a great model performance. Anything below this range and it may be worth talking to the Obviously AI data science team. They'll see if your dataset can be optimized to achieve better accuracy.

What is top 1 percent accuracy?

Top-1 accuracy is the conventional accuracy, model prediction (the one with the highest probability) must be exactly the expected answer. It measures the proportion of examples for which the predictedlabel matches the single target label.

The perfect chess game (100% accuracy)

Why am I getting 100% accuracy?

That you have 100% train and test accuracy probably means that your model is massively overfitting because of your amount of data. But in general you should avoid overfitting as well as underfitting because both damage your performance of machine learning algorithms.

Am I in the 1% globally?

In order to be in the top 1% of household wealth in the U.S., you'd need to be worth at least $10,374,030.10, according to Forbes. To be in the top 1% globally, you'd need a minimum of around $936,430, according to the 2019 Global Wealth Report from Credit Suisse.

Is 90% accuracy good in classification?

The most common metric used to evaluate the performance of a classification predictive model is classification accuracy. Typically, the accuracy of a predictive model is good (above 90% accuracy), therefore it is also very common to summarize the performance of a model in terms of the error rate of the model.

What is 90% accuracy in data entry?

Let's say, for example, that you need to write an email to the principal that contains 500 words. If you were typing with 90% accuracy, that means that 50 of these words would contain errors!

Is 95 percent accuracy good?

In most use cases, the human user will not be able to distinguish a model accuracy of 95% from 99%. Both models will be considered “good,” meaning that they solve the underlying problem that the model is supposed to solve.

What does 2% accuracy mean?

Accuracy may be represented as a percentage as well as digits. Example: an accuracy of ±2%, +2 digits means 100.0 V reading on a multimeter can be from 97.8 V to 102.2 V. Accuracy is generally compared to an accepted industry standard.

Is 86 accuracy good in chess?

I'd say for me, anything over 80% leaves me feeling pretty good about my play. For a game that is at least 25 moves long where most of the moves were not forced, I would have to say that 90%+ accuracy (expert strength or better) is generally an indicator of a good game.

Is 85% good accuracy?

In the ubiquitous computing community, there is an unofficial standard that 85% accuracy is "good enough" for sensing based on machine learning. But it's not so simple to say that 85% should be your target accuracy to consider a system useful.

How much accuracy is overfitting?

If our model does much better on the training set than on the test set, then we're likely overfitting. For example, it would be a big red flag if our model saw 99% accuracy on the training set but only 55% accuracy on the test set.

What is the maximum accuracy of machine learning?

Accuracy comes out to 0.91, or 91% (91 correct predictions out of 100 total examples).

Why is ML so hard?

Machine learning applications also require meticulous attention to optimize an algorithm. Debugging machine learning algorithms is difficult because the code includes multiple dimensions where information can be incorrect.

What does 85% accuracy mean?

Accuracy Rate is percentage of correct predictions for a given dataset. This means, when we have a Machine Learning model with the accuracy rate of 85%, statistically, we expect to have 85 correct one out of every 100 predictions.

What is an acceptable accuracy percentage?

For a good measurement system, the accuracy error should be within 5% and precision error should within 10%.

Is 97 accuracy good in typing?

The average accuracy for a typist is around 92%, meaning they make 8 mistakes for every 100 words typed. The desired accuracy for professional typing positions is around 97% or higher.

Why F1 score is better than accuracy?

F1 score is usually more useful than accuracy, especially if you have an uneven class distribution. Accuracy works best if false positives and false negatives have similar cost. If the cost of false positives and false negatives are very different, it's better to look at both Precision and Recall.

Is 50 accuracy good in chess?

Players with a rating lower than 699 have an average accuracy of about 50 percent while players with ratings ranging from 700 to 999 have about 60 to 70 percent. Players from 1000 to 1499 have normally 70 to 80 percent accuracy while players from 1500 to 1999 have 80 to 85 percent accuracy.

What is the top 1% salary in the world?

According to the Economic Policy Institute, the average annual wage of the top 1% was $823,763 as of 2020.1 A more recent study by SmartAsset points out that the national average of the top 1% earners is $597,815.2 Have in mind that the figures vary greatly from state to state.

What salary is considered rich for a single person?

To keep things simple, let's consider where the Internal Revenue Service (IRS) sets the bar for the top 1% of earners first. According to the most recent data available for fiscal year 2019, an income of $540,009 per year puts you in the top 1% category.

How much does the top 5% make?

Salaries start to jump significantly the closer you get to the top 1%. You'll start to see dramatic shifts in the top 5%, where the EPI found the average earners significantly increased to $343,000 in 2020, up from $324,000 the year before.