Francois 1956

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   33  0.633  0.045  0.196  0.5525  0.311  0.41
Ashkenazy 1981   7  0.686  0.029  0.145  0.5749  0.0612  0.18
Beliavsky 2004   32  0.6351  0.0039  0.0637  0.0639  0.0740  0.06
BenOr 1989   4  0.704  0.034  0.254  0.6048  0.069  0.19
Biret 1990   57  0.5327  0.0057  0.0547  0.0557  0.0461  0.04
Blet 2003   37  0.6344  0.0020  0.1118  0.3547  0.0523  0.13
Block 1995   55  0.5646  0.0055  0.0458  0.0454  0.0459  0.04
Brailowsky 1960   46  0.6048  0.0046  0.0548  0.0534  0.0936  0.07
Chiu 1999   54  0.5756  0.0054  0.0362  0.0356  0.0462  0.03
Clidat 1994   26  0.6447  0.0025  0.0823  0.2739  0.0624  0.13
Cohen 1997   62  0.4410  0.0160  0.0452  0.0418  0.4325  0.13
Coop 1987   22  0.6535  0.0015  0.1415  0.4252  0.0520  0.14
Cortot 1951   56  0.5441  0.0061  0.0457  0.0445  0.0654  0.05
Czerny 1949   18  0.6657  0.0030  0.0730  0.1657  0.0530  0.09
Czerny 1949b   10  0.6725  0.0028  0.0728  0.1958  0.0429  0.09
Ezaki 2006   17  0.6655  0.0022  0.1020  0.3249  0.0618  0.14
Falvay 1989   31  0.6416  0.0019  0.0822  0.3047  0.0719  0.14
Ferenczy 1958   58  0.5321  0.0050  0.0363  0.0347  0.0658  0.04
Fiorentino 1962   43  0.6166  0.0051  0.0361  0.0362  0.0463  0.03
Fliere 1977   6  0.6934  0.0010  0.148  0.5440  0.087  0.21
Fou 1978   11  0.6737  0.0014  0.1212  0.4542  0.088  0.19
Francois 1956   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1997   44  0.6060  0.0034  0.0545  0.0543  0.0742  0.06
Horowitz 1971   48  0.6050  0.0040  0.0636  0.0655  0.0553  0.05
Horowitz 1985   61  0.4749  0.0063  0.0640  0.0663  0.0356  0.04
Indjic 2001   42  0.6161  0.0032  0.0632  0.1147  0.0732  0.09
Kapell 1951   35  0.6314  0.0117  0.0727  0.2053  0.0626  0.11
Kiepura 1999   38  0.6242  0.0053  0.0454  0.0456  0.0555  0.04
Kilenyi 1937   14  0.6630  0.0024  0.0721  0.3140  0.0716  0.15
Kissin 1993   15  0.6633  0.0013  0.1213  0.4441  0.0711  0.18
Kitain 1937   63  0.4229  0.0062  0.0453  0.0427  0.2234  0.09
Kushner 1990   12  0.669  0.016  0.147  0.5551  0.0513  0.17
Levy 1951   60  0.5119  0.0037  0.0544  0.0553  0.0548  0.05
Luisada 1990   13  0.6628  0.0031  0.0731  0.1355  0.0535  0.08
Lushtak 2004   19  0.6563  0.0029  0.0825  0.2160  0.0431  0.09
Lympany 1968   41  0.6153  0.0049  0.0550  0.0555  0.0545  0.05
Magaloff 1977   24  0.6526  0.0021  0.1317  0.3744  0.0714  0.16
Magaloff 1977b   34  0.6338  0.0026  0.0729  0.1755  0.0533  0.09
Magin 1975   28  0.6432  0.0044  0.0549  0.0555  0.0549  0.05
Milkina 1970   8  0.6812  0.0116  0.1310  0.5248  0.0610  0.18
Mohovich 1999   20  0.6536  0.0011  0.0919  0.3339  0.0717  0.15
Nadelmann 1956   45  0.6045  0.0036  0.0641  0.0643  0.0641  0.06
Ohlsson 1999   52  0.5720  0.0056  0.0460  0.0446  0.0750  0.05
Olejniczac 1990   39  0.6259  0.0043  0.0734  0.0754  0.0643  0.06
Olejniczak 1991   47  0.6062  0.0052  0.0459  0.0459  0.0557  0.04
Osinska 1989   2  0.742  0.142  0.332  0.8046  0.075  0.24
Paderewski 1912   27  0.6443  0.0023  0.0924  0.2649  0.0527  0.11
Perahia 1994   59  0.5339  0.0059  0.0456  0.0443  0.0560  0.04
Perlemuter 1986   3  0.745  0.023  0.353  0.6724  0.232  0.39
Poblocka 1999   23  0.6524  0.0042  0.0735  0.0763  0.0446  0.05
Rangell 2001   40  0.6140  0.0041  0.0833  0.0856  0.0544  0.06
Risler 1920   50  0.5815  0.0147  0.0451  0.0440  0.0747  0.05
Rosen 1989   53  0.5752  0.0058  0.0542  0.0557  0.0552  0.05
Rubinstein 1939   49  0.5917  0.0048  0.0455  0.0432  0.1137  0.07
Rubinstein 1952   29  0.6423  0.0018  0.0716  0.4142  0.0522  0.14
Rubinstein 1966   36  0.6311  0.0112  0.1114  0.4431  0.164  0.27
Rummel 1943   25  0.6531  0.0038  0.0638  0.0624  0.1728  0.10
Shebanova 2002   21  0.6513  0.0127  0.0726  0.2033  0.1021  0.14
Smith 1975   5  0.697  0.028  0.1411  0.4843  0.0515  0.15
Szpilman 1948   9  0.678  0.017  0.159  0.5232  0.193  0.31
Uninsky 1971   16  0.6654  0.0035  0.0639  0.0653  0.0551  0.05
Wasowski 1980   30  0.6418  0.0045  0.0543  0.0541  0.0738  0.06
Weissenberg 1971   51  0.5822  0.0033  0.0546  0.0541  0.0739  0.06
Average   1  0.771  0.581  0.571  0.8546  0.066  0.23
Random 1    65  -0.0658  0.0065  0.0265  0.0251  0.0364  0.02
Random 2   64  -0.0264  0.0064  0.0364  0.0360  0.0265  0.02
Random 3   66  -0.0965  0.0066  0.0166  0.0158  0.0366  0.02

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).