Lushtak 2004

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.6853  0.0036  0.0629  0.2335  0.2635  0.24
Anderszewski 2003   56  0.5752  0.0046  0.0559  0.0532  0.1762  0.09
Ashkenazy 1981   4  0.7254  0.0017  0.087  0.4517  0.4510  0.45
Bacha 2000   64  0.5479  0.0068  0.0374  0.0351  0.0674  0.04
Badura 1965   48  0.6039  0.0056  0.0465  0.0426  0.3554  0.12
Barbosa 1983   16  0.6737  0.0025  0.0723  0.285  0.6011  0.41
Biret 1990   23  0.664  0.046  0.138  0.456  0.497  0.47
Blet 2003   9  0.7055  0.0023  0.0819  0.336  0.4813  0.40
Block 1995   77  0.4360  0.0078  0.0384  0.0373  0.0385  0.03
Blumental 1952   53  0.5867  0.0062  0.0646  0.0621  0.2256  0.11
Boshniakovich 1969   46  0.6019  0.0057  0.0461  0.0447  0.0770  0.05
Brailowsky 1960   47  0.6061  0.0053  0.0551  0.0537  0.2258  0.10
Bunin 1987   32  0.6490  0.0033  0.0633  0.204  0.5425  0.33
Bunin 1987b   37  0.6370  0.0034  0.0634  0.205  0.5424  0.33
Chiu 1999   15  0.6743  0.0050  0.0555  0.0518  0.4246  0.14
Cohen 1997   66  0.5340  0.0073  0.0373  0.039  0.4157  0.11
Cortot 1951   51  0.5912  0.0142  0.0541  0.1323  0.3140  0.20
Csalog 1996   74  0.4562  0.0063  0.0557  0.0523  0.3551  0.13
Czerny 1949   54  0.5888  0.0061  0.0553  0.0535  0.1764  0.09
Czerny 1990   28  0.6677  0.0039  0.0536  0.1733  0.1843  0.17
Duchoud 2007   52  0.5863  0.0049  0.0647  0.0612  0.4045  0.15
Ezaki 2006   2  0.7428  0.0012  0.0713  0.4018  0.3815  0.39
Falvay 1989   27  0.6613  0.0110  0.1121  0.2912  0.5217  0.39
Farrell 1958   18  0.6714  0.0131  0.0632  0.2010  0.4230  0.29
Ferenczy 1958   40  0.6268  0.0055  0.0460  0.0413  0.3653  0.12
Fliere 1977   5  0.7130  0.0016  0.073  0.4925  0.3116  0.39
Fou 1978   10  0.7049  0.0014  0.0718  0.3423  0.3621  0.35
Francois 1956   50  0.5934  0.0032  0.0735  0.1922  0.3732  0.27
Friedman 1923   81  0.4280  0.0088  0.0468  0.0465  0.0580  0.04
Friedman 1923b   78  0.4331  0.0087  0.0462  0.0448  0.0771  0.05
Friedman 1930   67  0.5347  0.0067  0.0467  0.0434  0.2460  0.10
Garcia 2007   61  0.5575  0.0064  0.0650  0.0626  0.3150  0.14
Garcia 2007b   75  0.4465  0.0080  0.0382  0.0359  0.0488  0.03
Gierzod 1998   36  0.6315  0.0140  0.0542  0.1240  0.1649  0.14
Gornostaeva 1994   70  0.5081  0.0071  0.0370  0.0356  0.0487  0.03
Groot 1988   29  0.6557  0.0020  0.0820  0.3110  0.5312  0.41
Harasiewicz 1955   17  0.6742  0.0021  0.0715  0.3626  0.3322  0.34
Hatto 1993   41  0.6274  0.0038  0.0543  0.1018  0.3242  0.18
Hatto 1997   21  0.6735  0.0027  0.0824  0.2515  0.3928  0.31
Horowitz 1949   68  0.5087  0.0076  0.0381  0.0374  0.0384  0.03
Indjic 1988   33  0.6456  0.0035  0.0638  0.1418  0.3637  0.22
Kapell 1951   38  0.6316  0.015  0.115  0.469  0.468  0.46
Kissin 1993   30  0.6545  0.0052  0.0552  0.0546  0.0669  0.05
Kushner 1989   34  0.6421  0.0029  0.0626  0.2423  0.3631  0.29
Luisada 1991   22  0.6629  0.0026  0.0727  0.2434  0.2336  0.23
Lushtak 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Malcuzynski 1961   73  0.4851  0.0077  0.0385  0.0385  0.0383  0.03
Magaloff 1978   45  0.603  0.058  0.1030  0.2225  0.3133  0.26
Magin 1975   69  0.5050  0.0072  0.0371  0.0349  0.0575  0.04
Michalowski 1933   82  0.4289  0.0075  0.0287  0.0251  0.0776  0.04
Milkina 1970   65  0.5444  0.0070  0.0379  0.0368  0.0482  0.03
Mohovich 1999   12  0.698  0.027  0.094  0.4711  0.534  0.50
Moravec 1969   79  0.4371  0.0083  0.0288  0.0283  0.0389  0.02
Morozova 2008   11  0.6922  0.0024  0.0922  0.2814  0.3427  0.31
Neighaus 1950   7  0.716  0.0413  0.0710  0.4216  0.3519  0.38
Niedzielski 1931   80  0.4220  0.0081  0.0377  0.0382  0.0381  0.03
Ohlsson 1999   14  0.6827  0.0018  0.0811  0.4122  0.3818  0.39
Osinska 1989   42  0.6132  0.0047  0.0558  0.0536  0.1861  0.09
Pachmann 1927   49  0.6017  0.0130  0.0639  0.147  0.5034  0.26
Paderewski 1930   44  0.6138  0.0051  0.0554  0.059  0.3948  0.14
Perlemuter 1992   3  0.7323  0.0011  0.086  0.464  0.535  0.49
Pierdomenico 2008   72  0.4972  0.0066  0.0469  0.0431  0.3452  0.12
Poblocka 1999   35  0.6410  0.0122  0.0817  0.3416  0.3720  0.35
Rabcewiczowa 1932   55  0.5825  0.0045  0.0445  0.0913  0.4338  0.20
Rachmaninoff 1923   43  0.6173  0.0048  0.0648  0.0623  0.3147  0.14
Rangell 2001   85  0.3618  0.0079  0.0383  0.0343  0.1072  0.05
Richter 1976   60  0.5546  0.0058  0.0464  0.0429  0.2759  0.10
Rosen 1989   59  0.5669  0.0065  0.0463  0.0451  0.0578  0.04
Rosenthal 1930   76  0.4391  0.0069  0.0375  0.0332  0.2267  0.08
Rosenthal 1931   86  0.3483  0.0084  0.0286  0.0242  0.1077  0.04
Rosenthal 1931b   87  0.3484  0.0085  0.0378  0.0344  0.0873  0.05
Rosenthal 1931c   83  0.4276  0.0082  0.0376  0.0332  0.2565  0.09
Rosenthal 1931d   88  0.3366  0.0074  0.0380  0.0359  0.0579  0.04
Rossi 2007   84  0.4126  0.0086  0.0372  0.0345  0.0968  0.05
Rubinstein 1939   71  0.4986  0.0054  0.0466  0.0420  0.3355  0.11
Rubinstein 1952   57  0.572  0.112  0.1125  0.2518  0.4723  0.34
Rubinstein 1966   31  0.6564  0.0028  0.0731  0.2018  0.4429  0.30
Schilhawsky 1960   19  0.675  0.044  0.1016  0.3514  0.4514  0.40
Shebanova 2002   26  0.667  0.0441  0.0637  0.1528  0.2839  0.20
Smith 1975   24  0.6624  0.0019  0.0912  0.417  0.536  0.47
Sokolov 2002   39  0.6348  0.0037  0.0628  0.2413  0.4426  0.32
Sztompka 1959   25  0.6658  0.0043  0.0540  0.1333  0.2741  0.19
Tomsic 1995   20  0.679  0.019  0.1314  0.393  0.703  0.52
Uninsky 1932   63  0.5459  0.0059  0.0556  0.0542  0.1563  0.09
Uninsky 1971   62  0.5433  0.0044  0.0544  0.0932  0.3044  0.16
Wasowski 1980   58  0.5641  0.0060  0.0649  0.0640  0.1166  0.08
Zak 1937   8  0.7136  0.0015  0.089  0.439  0.509  0.46
Zak 1951   6  0.7111  0.013  0.112  0.537  0.532  0.53
Average   1  0.801  0.491  0.491  0.7611  0.511  0.62
Random 1   91  -0.1882  0.0091  0.0191  0.0165  0.0491  0.02
Random 2   90  -0.1378  0.0090  0.0290  0.0270  0.0390  0.02
Random 3   89  -0.0385  0.0089  0.0289  0.0250  0.0586  0.03

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).