Levy 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   43  0.3116  0.0145  0.0648  0.0658  0.0553  0.05
Ashkenazy 1981   61  0.1866  0.0061  0.0554  0.0561  0.0463  0.04
Beliavsky 2004   62  0.1555  0.0062  0.0461  0.0441  0.0844  0.06
BenOr 1989   11  0.4227  0.0012  0.156  0.6228  0.3010  0.43
Biret 1990   22  0.3932  0.0030  0.0828  0.2439  0.0728  0.13
Blet 2003   49  0.2864  0.0054  0.0555  0.0558  0.0552  0.05
Block 1995   46  0.2947  0.0050  0.0739  0.0755  0.0455  0.05
Brailowsky 1960   2  0.4733  0.004  0.212  0.6718  0.532  0.60
Chiu 1999   47  0.2956  0.0055  0.0550  0.0563  0.0359  0.04
Clidat 1994   39  0.3438  0.0036  0.0837  0.0853  0.0545  0.06
Cohen 1997   63  0.1340  0.0063  0.0363  0.0359  0.0365  0.03
Coop 1987   21  0.3945  0.0031  0.1122  0.3044  0.0626  0.13
Cortot 1951   58  0.2549  0.0051  0.0558  0.0532  0.1536  0.09
Czerny 1949   20  0.3913  0.0113  0.168  0.5519  0.399  0.46
Czerny 1949b   33  0.3630  0.0020  0.0820  0.3226  0.2517  0.28
Ezaki 2006   7  0.433  0.055  0.145  0.6417  0.571  0.60
Falvay 1989   32  0.3644  0.0022  0.0832  0.1741  0.0635  0.10
Ferenczy 1958   5  0.458  0.023  0.159  0.5523  0.438  0.49
Fiorentino 1962   37  0.3459  0.0039  0.0740  0.0738  0.0938  0.08
Fliere 1977   41  0.3250  0.0043  0.0553  0.0553  0.0548  0.05
Fou 1978   10  0.425  0.037  0.197  0.6117  0.573  0.59
Francois 1956   60  0.2442  0.0047  0.0644  0.0643  0.0558  0.05
Hatto 1997   50  0.2861  0.0058  0.0643  0.0659  0.0360  0.04
Horowitz 1971   29  0.3720  0.0035  0.0934  0.0953  0.0541  0.07
Horowitz 1985   12  0.427  0.0314  0.2010  0.5213  0.477  0.49
Indjic 2001   54  0.2763  0.0059  0.0645  0.0656  0.0362  0.04
Kapell 1951   30  0.3654  0.0034  0.0835  0.0832  0.1829  0.12
Kiepura 1999   13  0.4160  0.0025  0.0717  0.4054  0.0523  0.14
Kilenyi 1937   19  0.3934  0.0024  0.0818  0.3650  0.0721  0.16
Kissin 1993   59  0.2465  0.0060  0.0646  0.0649  0.0550  0.05
Kitain 1937   55  0.2729  0.0042  0.0557  0.0542  0.0747  0.06
Kushner 1990   23  0.3836  0.0026  0.0730  0.2141  0.0730  0.12
Levy 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 1990   48  0.2937  0.0044  0.0460  0.0438  0.0754  0.05
Lushtak 2004   34  0.3612  0.0132  0.1131  0.2049  0.0633  0.11
Lympany 1968   24  0.3810  0.0119  0.0926  0.2725  0.3215  0.29
Magaloff 1977   53  0.2841  0.0053  0.0462  0.0454  0.0461  0.04
Magaloff 1977b   56  0.2648  0.0057  0.0642  0.0648  0.0556  0.05
Magin 1975   36  0.3519  0.0021  0.1121  0.3141  0.0820  0.16
Milkina 1970   27  0.3726  0.0015  0.1419  0.3641  0.0622  0.15
Mohovich 1999   44  0.3146  0.0048  0.0552  0.0551  0.0557  0.05
Nadelmann 1956   8  0.4318  0.0110  0.1216  0.4239  0.0719  0.17
Ohlsson 1999   45  0.3039  0.0049  0.0551  0.0547  0.0549  0.05
Olejniczac 1990   40  0.3424  0.0040  0.0738  0.0737  0.0937  0.08
Olejniczak 1991   35  0.3543  0.0038  0.0836  0.0856  0.0639  0.07
Osinska 1989   4  0.452  0.122  0.204  0.6526  0.386  0.50
Paderewski 1912   31  0.3614  0.0118  0.0923  0.2922  0.2916  0.29
Perahia 1994   9  0.434  0.048  0.1515  0.4522  0.3212  0.38
Perlemuter 1986   25  0.3822  0.0027  0.0625  0.2839  0.0627  0.13
Poblocka 1999   15  0.4031  0.0017  0.2212  0.4827  0.2314  0.33
Rangell 2001   57  0.2551  0.0056  0.0549  0.0553  0.0464  0.04
Risler 1920   52  0.2823  0.0052  0.0559  0.0538  0.0743  0.06
Rosen 1989   26  0.3815  0.0116  0.1513  0.4820  0.585  0.53
Rubinstein 1939   28  0.3728  0.0029  0.0729  0.2338  0.0724  0.13
Rubinstein 1952   18  0.4057  0.0028  0.0724  0.2951  0.0434  0.11
Rubinstein 1966   17  0.4011  0.0123  0.0727  0.2656  0.0532  0.11
Rummel 1943   38  0.3425  0.0037  0.0641  0.0637  0.0646  0.06
Shebanova 2002   14  0.4021  0.0011  0.1311  0.5030  0.2513  0.35
Smith 1975   16  0.4017  0.019  0.2314  0.4512  0.3211  0.38
Szpilman 1948   51  0.2835  0.0041  0.0556  0.0537  0.0842  0.06
Uninsky 1971   42  0.3153  0.0046  0.0647  0.0658  0.0451  0.05
Wasowski 1980   3  0.459  0.026  0.153  0.6611  0.464  0.55
Weissenberg 1971   6  0.446  0.0333  0.1233  0.1230  0.1525  0.13
Average   1  0.561  0.521  0.511  0.7859  0.0518  0.20
Random 1    65  0.0262  0.0065  0.0265  0.0219  0.2540  0.07
Random 2   66  -0.0258  0.0066  0.0166  0.0149  0.0466  0.02
Random 3   64  0.0752  0.0064  0.0364  0.035  0.4631  0.12

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).