Chiu 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   40  0.4155  0.0051  0.0753  0.0737  0.2751  0.14
Anderszewski 2003   73  0.2877  0.0081  0.0471  0.0465  0.0470  0.04
Ashkenazy 1981   5  0.574  0.057  0.158  0.7216  0.758  0.73
Bacha 2000   57  0.3623  0.0032  0.1039  0.2513  0.5436  0.37
Badura 1965   74  0.2656  0.0067  0.0570  0.0558  0.0473  0.04
Barbosa 1983   33  0.4478  0.0045  0.0845  0.1518  0.5044  0.27
Biret 1990   51  0.3643  0.0056  0.0569  0.0523  0.5349  0.16
Blet 2003   23  0.4836  0.0039  0.1033  0.3519  0.5731  0.45
Block 1995   56  0.3629  0.0064  0.0850  0.0849  0.0662  0.07
Blumental 1952   54  0.3665  0.0055  0.0661  0.0635  0.2852  0.13
Boshniakovich 1969   70  0.2982  0.0063  0.0849  0.0846  0.0859  0.08
Brailowsky 1960   78  0.2183  0.0071  0.0480  0.0456  0.0665  0.05
Bunin 1987   43  0.4030  0.0035  0.0836  0.2915  0.5434  0.40
Bunin 1987b   42  0.4027  0.0034  0.0834  0.3215  0.5532  0.42
Chiu 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cohen 1997   67  0.3166  0.0079  0.0383  0.0360  0.0575  0.04
Cortot 1951   63  0.3250  0.0080  0.0474  0.0463  0.0478  0.04
Csalog 1996   17  0.5024  0.0022  0.1121  0.603  0.7615  0.68
Czerny 1949   80  0.1970  0.0086  0.0384  0.0373  0.0487  0.03
Czerny 1990   16  0.5012  0.0113  0.1113  0.679  0.809  0.73
Duchoud 2007   7  0.553  0.073  0.203  0.763  0.793  0.77
Ezaki 2006   82  0.1884  0.0083  0.0381  0.0380  0.0382  0.03
Falvay 1989   48  0.3785  0.0061  0.0657  0.0644  0.1258  0.08
Farrell 1958   34  0.4431  0.0040  0.0842  0.215  0.6438  0.37
Ferenczy 1958   88  0.0851  0.0089  0.0289  0.0272  0.0486  0.03
Fliere 1977   4  0.5822  0.0011  0.135  0.7319  0.6911  0.71
Fou 1978   24  0.4757  0.0038  0.0837  0.2720  0.4340  0.34
Francois 1956   77  0.2261  0.0072  0.0478  0.0463  0.0481  0.04
Friedman 1923   12  0.5318  0.0010  0.187  0.737  0.785  0.75
Friedman 1923b   13  0.5310  0.019  0.146  0.737  0.784  0.75
Friedman 1930   10  0.5416  0.0115  0.1314  0.668  0.7414  0.70
Garcia 2007   60  0.3340  0.0049  0.1046  0.1034  0.3747  0.19
Garcia 2007b   49  0.3714  0.0129  0.1130  0.3820  0.5530  0.46
Gierzod 1998   85  0.1558  0.0076  0.0475  0.0460  0.0571  0.04
Gornostaeva 1994   62  0.3244  0.0066  0.0473  0.0459  0.0576  0.04
Groot 1988   37  0.4347  0.0031  0.1026  0.4629  0.3435  0.40
Harasiewicz 1955   14  0.5334  0.0048  0.0948  0.0944  0.1456  0.11
Hatto 1993   9  0.5421  0.0012  0.1216  0.6411  0.6121  0.62
Hatto 1997   39  0.4152  0.0050  0.0756  0.0734  0.2253  0.12
Horowitz 1949   21  0.498  0.0116  0.1411  0.673  0.796  0.73
Indjic 1988   20  0.5071  0.0019  0.1518  0.6311  0.6420  0.63
Kapell 1951   15  0.529  0.0114  0.1215  0.656  0.6316  0.64
Kissin 1993   44  0.3972  0.0042  0.0740  0.2228  0.5141  0.33
Kushner 1989   18  0.5038  0.0030  0.1031  0.3822  0.4533  0.41
Luisada 1991   29  0.4615  0.0127  0.0929  0.4322  0.5326  0.48
Lushtak 2004   59  0.3528  0.0074  0.0566  0.0544  0.1061  0.07
Malcuzynski 1961   45  0.3825  0.0052  0.0752  0.0767  0.0466  0.05
Magaloff 1978   53  0.3662  0.0037  0.1035  0.3124  0.4437  0.37
Magin 1975   46  0.3873  0.0043  0.0843  0.1927  0.5042  0.31
Michalowski 1933   28  0.466  0.038  0.1512  0.672  0.7512  0.71
Milkina 1970   64  0.3260  0.0058  0.0563  0.0527  0.3950  0.14
Mohovich 1999   72  0.2886  0.0070  0.0472  0.0465  0.0574  0.04
Moravec 1969   41  0.4135  0.0036  0.0938  0.2615  0.5139  0.36
Morozova 2008   6  0.575  0.045  0.1310  0.693  0.7113  0.70
Neighaus 1950   32  0.4545  0.0024  0.0925  0.4817  0.4429  0.46
Niedzielski 1931   31  0.4526  0.0017  0.1520  0.616  0.6618  0.63
Ohlsson 1999   8  0.5411  0.0118  0.1117  0.636  0.6517  0.64
Osinska 1989   65  0.3274  0.0059  0.0564  0.0548  0.0763  0.06
Pachmann 1927   26  0.4613  0.0121  0.0822  0.5511  0.7219  0.63
Paderewski 1930   61  0.3287  0.0054  0.0658  0.0643  0.2255  0.11
Perlemuter 1992   68  0.3175  0.0065  0.1047  0.1056  0.0560  0.07
Pierdomenico 2008   27  0.4641  0.0025  0.0923  0.505  0.6922  0.59
Poblocka 1999   55  0.3646  0.0041  0.0741  0.2140  0.2345  0.22
Rabcewiczowa 1932   79  0.1942  0.0084  0.0385  0.0368  0.0484  0.03
Rachmaninoff 1923   35  0.447  0.0223  0.1224  0.4917  0.6424  0.56
Rangell 2001   52  0.3637  0.0046  0.0754  0.0718  0.4048  0.17
Richter 1976   2  0.6217  0.016  0.164  0.767  0.822  0.79
Rosen 1989   22  0.4819  0.0026  0.1027  0.4619  0.5525  0.50
Rosenthal 1930   69  0.3053  0.0073  0.0477  0.0463  0.0572  0.04
Rosenthal 1931   83  0.1867  0.0082  0.0660  0.0652  0.0568  0.05
Rosenthal 1931b   84  0.1679  0.0078  0.0382  0.0353  0.0579  0.04
Rosenthal 1931c   71  0.2964  0.0053  0.0662  0.0637  0.2654  0.12
Rosenthal 1931d   87  0.0854  0.0075  0.0479  0.0457  0.0477  0.04
Rossi 2007   86  0.1188  0.0087  0.0288  0.0272  0.0483  0.03
Rubinstein 1939   50  0.3776  0.0057  0.0568  0.0531  0.1957  0.10
Rubinstein 1952   76  0.2463  0.0068  0.0567  0.0575  0.0480  0.04
Rubinstein 1966   47  0.3880  0.0062  0.0755  0.0748  0.0664  0.06
Schilhawsky 1960   38  0.4320  0.0044  0.0744  0.1510  0.6143  0.30
Shebanova 2002   3  0.602  0.102  0.382  0.807  0.811  0.80
Smith 1975   75  0.2589  0.0085  0.0286  0.0273  0.0390  0.02
Sokolov 2002   58  0.3559  0.0060  0.0565  0.0551  0.0469  0.04
Sztompka 1959   25  0.4681  0.0028  0.0928  0.4423  0.4828  0.46
Tomsic 1995   81  0.1990  0.0077  0.0476  0.0479  0.0385  0.03
Uninsky 1932   19  0.5048  0.0020  0.1319  0.6214  0.5623  0.59
Uninsky 1971   66  0.3168  0.0069  0.0659  0.0671  0.0467  0.05
Wasowski 1980   11  0.5432  0.004  0.149  0.694  0.7510  0.72
Zak 1937   30  0.4539  0.0033  0.0732  0.3613  0.6327  0.48
Zak 1951   36  0.4349  0.0047  0.0851  0.0814  0.5746  0.21
Average   1  0.721  0.571  0.561  0.898  0.607  0.73
Random 1   90  0.0033  0.0088  0.0290  0.0262  0.0489  0.03
Random 2   89  0.0069  0.0090  0.0287  0.0267  0.0488  0.03
Random 3   91  -0.0591  0.0091  0.0191  0.0180  0.0291  0.01

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).