Bunin 1987b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   71  0.2649  0.0078  0.0373  0.0386  0.0380  0.03
Anderszewski 2003   78  0.2450  0.0069  0.0386  0.0371  0.0476  0.03
Ashkenazy 1981   13  0.4028  0.0028  0.1025  0.4135  0.2718  0.33
Bacha 2000   76  0.2451  0.0067  0.0377  0.0361  0.0471  0.03
Badura 1965   58  0.2920  0.0048  0.0748  0.0756  0.0455  0.05
Barbosa 1983   12  0.4052  0.0011  0.1013  0.5139  0.2117  0.33
Biret 1990   41  0.3253  0.0038  0.0641  0.1952  0.0641  0.11
Blet 2003   19  0.3854  0.0012  0.1211  0.5318  0.485  0.50
Block 1995   67  0.2715  0.0057  0.0461  0.0461  0.0565  0.04
Blumental 1952   48  0.3155  0.0045  0.0844  0.1658  0.0645  0.10
Boshniakovich 1969   27  0.3516  0.0032  0.0830  0.3362  0.0535  0.13
Brailowsky 1960   75  0.2556  0.0082  0.0468  0.0465  0.0558  0.04
Bunin 1987   1  0.981  1.001  0.991  1.001  1.001  1.00
Bunin 1987b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Chiu 1999   23  0.3721  0.0025  0.0926  0.4126  0.2716  0.33
Cohen 1997   82  0.227  0.0077  0.0388  0.0370  0.0382  0.03
Cortot 1951   87  0.1557  0.0087  0.0383  0.0382  0.0291  0.02
Csalog 1996   37  0.3329  0.0040  0.0637  0.2331  0.2229  0.22
Czerny 1949   60  0.2858  0.0079  0.0469  0.0464  0.0563  0.04
Czerny 1990   17  0.385  0.0027  0.0923  0.4243  0.1526  0.25
Duchoud 2007   50  0.3113  0.0022  0.1424  0.4215  0.4711  0.44
Ezaki 2006   36  0.3411  0.0033  0.0834  0.2777  0.0442  0.10
Falvay 1989   21  0.3759  0.0015  0.1021  0.4246  0.0831  0.18
Farrell 1958   33  0.3460  0.0035  0.0836  0.2456  0.0639  0.12
Ferenczy 1958   84  0.2161  0.0085  0.0374  0.0375  0.0478  0.03
Fliere 1977   5  0.4330  0.003  0.2110  0.5336  0.2613  0.37
Fou 1978   70  0.2662  0.0076  0.0381  0.0388  0.0288  0.02
Francois 1956   79  0.2422  0.0072  0.0385  0.0371  0.0486  0.03
Friedman 1923   69  0.2631  0.0053  0.0553  0.0555  0.0657  0.05
Friedman 1923b   59  0.2863  0.0051  0.0650  0.0648  0.0750  0.06
Friedman 1930   38  0.333  0.0021  0.0916  0.4725  0.469  0.46
Garcia 2007   46  0.3217  0.0039  0.0645  0.1337  0.1634  0.14
Garcia 2007b   11  0.418  0.008  0.105  0.5911  0.652  0.62
Gierzod 1998   73  0.2614  0.0071  0.0379  0.0376  0.0481  0.03
Gornostaeva 1994   44  0.3232  0.0052  0.0651  0.0661  0.0556  0.05
Groot 1988   10  0.4123  0.006  0.1617  0.4732  0.2814  0.36
Harasiewicz 1955   57  0.2964  0.0070  0.0380  0.0382  0.0484  0.03
Hatto 1993   22  0.3765  0.0017  0.1514  0.5044  0.1424  0.26
Hatto 1997   28  0.3566  0.0016  0.0915  0.4837  0.2120  0.32
Horowitz 1949   8  0.4267  0.0018  0.0922  0.4212  0.586  0.49
Indjic 1988   20  0.3768  0.0013  0.1212  0.5337  0.2315  0.35
Kapell 1951   4  0.442  0.009  0.104  0.6129  0.2912  0.42
Kissin 1993   74  0.2524  0.0075  0.0378  0.0379  0.0474  0.03
Kushner 1989   16  0.3869  0.0029  0.0827  0.4047  0.0832  0.18
Luisada 1991   7  0.4218  0.0014  0.119  0.5520  0.417  0.47
Lushtak 2004   29  0.356  0.0026  0.0918  0.4532  0.2321  0.32
Malcuzynski 1961   3  0.4570  0.004  0.133  0.6827  0.444  0.55
Magaloff 1978   40  0.3371  0.0046  0.0946  0.0966  0.0449  0.06
Magin 1975   32  0.3433  0.0042  0.0739  0.2158  0.0544  0.10
Michalowski 1933   80  0.2425  0.0074  0.0376  0.0347  0.0754  0.05
Milkina 1970   54  0.294  0.0059  0.0555  0.0563  0.0461  0.04
Mohovich 1999   68  0.2772  0.0064  0.0467  0.0482  0.0466  0.04
Moravec 1969   18  0.3873  0.0031  0.0933  0.3161  0.0536  0.12
Morozova 2008   15  0.4074  0.0010  0.108  0.5629  0.408  0.47
Neighaus 1950   63  0.2775  0.0068  0.0382  0.0370  0.0483  0.03
Niedzielski 1931   49  0.319  0.0047  0.0749  0.0739  0.2038  0.12
Ohlsson 1999   39  0.3334  0.0043  0.0743  0.1881  0.0347  0.07
Osinska 1989   42  0.3235  0.0041  0.0735  0.2572  0.0443  0.10
Pachmann 1927   51  0.3126  0.0049  0.0947  0.0935  0.2433  0.15
Paderewski 1930   81  0.2376  0.0073  0.0387  0.0362  0.0473  0.03
Perlemuter 1992   45  0.3236  0.0060  0.0559  0.0546  0.0848  0.06
Pierdomenico 2008   72  0.2677  0.0066  0.0372  0.0368  0.0472  0.03
Poblocka 1999   26  0.3578  0.0037  0.0638  0.2147  0.0737  0.12
Rabcewiczowa 1932   53  0.3037  0.0055  0.0558  0.0551  0.0652  0.05
Rachmaninoff 1923   6  0.4338  0.005  0.137  0.5817  0.523  0.55
Rangell 2001   55  0.2939  0.0061  0.0560  0.0563  0.0467  0.04
Richter 1976   43  0.3219  0.0034  0.0832  0.3242  0.2025  0.25
Rosen 1989   52  0.3079  0.0036  0.0640  0.2076  0.0346  0.08
Rosenthal 1930   62  0.2727  0.0081  0.0464  0.0460  0.0564  0.04
Rosenthal 1931   86  0.1840  0.0086  0.0466  0.0478  0.0375  0.03
Rosenthal 1931b   83  0.2110  0.0084  0.0462  0.0462  0.0469  0.04
Rosenthal 1931c   65  0.2741  0.0065  0.0375  0.0366  0.0485  0.03
Rosenthal 1931d   77  0.2480  0.0080  0.0471  0.0455  0.0568  0.04
Rossi 2007   85  0.1942  0.0083  0.0465  0.0471  0.0460  0.04
Rubinstein 1939   47  0.3143  0.0054  0.0556  0.0548  0.0551  0.05
Rubinstein 1952   64  0.2744  0.0063  0.0557  0.0565  0.0470  0.04
Rubinstein 1966   66  0.2781  0.0062  0.0470  0.0479  0.0377  0.03
Schilhawsky 1960   31  0.3412  0.0030  0.0831  0.3227  0.3219  0.32
Shebanova 2002   9  0.4182  0.007  0.096  0.5933  0.3410  0.45
Smith 1975   88  0.1383  0.0088  0.0384  0.0387  0.0287  0.02
Sokolov 2002   61  0.2884  0.0056  0.0463  0.0452  0.0559  0.04
Sztompka 1959   30  0.3485  0.0050  0.0552  0.0559  0.0553  0.05
Tomsic 1995   35  0.3486  0.0019  0.0928  0.3932  0.2322  0.30
Uninsky 1932   34  0.3487  0.0044  0.0842  0.1845  0.0840  0.12
Uninsky 1971   56  0.2945  0.0058  0.0554  0.0578  0.0362  0.04
Wasowski 1980   14  0.4088  0.0024  0.0919  0.4443  0.1030  0.21
Zak 1937   25  0.3646  0.0023  0.0929  0.3740  0.1527  0.24
Zak 1951   24  0.3747  0.0020  0.0920  0.4238  0.1923  0.28
Average   2  0.5689  0.002  0.662  0.8658  0.0628  0.23
Random 1   90  -0.0390  0.0090  0.0290  0.0266  0.0389  0.02
Random 2   89  0.0348  0.0089  0.0289  0.0247  0.0679  0.03
Random 3   91  -0.0791  0.0091  0.0191  0.0166  0.0390  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).