Schilhawsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   52  0.2083  0.0070  0.0473  0.0476  0.0376  0.03
Anderszewski 2003   28  0.2920  0.0127  0.0835  0.2833  0.2420  0.26
Ashkenazy 1981   18  0.3360  0.0023  0.0818  0.4656  0.0722  0.18
Bacha 2000   31  0.2837  0.0028  0.0723  0.4335  0.2415  0.32
Badura 1965   50  0.2114  0.0142  0.0840  0.1845  0.1132  0.14
Barbosa 1983   4  0.4236  0.008  0.144  0.6714  0.563  0.61
Biret 1990   32  0.2748  0.0039  0.0738  0.2539  0.3119  0.28
Blet 2003   6  0.428  0.039  0.156  0.6337  0.377  0.48
Block 1995   15  0.3424  0.0017  0.1514  0.5163  0.0527  0.16
Blumental 1952   21  0.316  0.0414  0.1511  0.5729  0.3311  0.43
Boshniakovich 1969   9  0.403  0.104  0.233  0.7027  0.446  0.55
Brailowsky 1960   36  0.2616  0.0138  0.0737  0.2757  0.0634  0.13
Bunin 1987   30  0.2821  0.0030  0.1326  0.3937  0.2317  0.30
Bunin 1987b   29  0.2826  0.0029  0.0827  0.3937  0.2218  0.29
Chiu 1999   2  0.434  0.0511  0.1410  0.6144  0.1516  0.30
Cohen 1997   69  0.1484  0.0068  0.0471  0.0488  0.0278  0.03
Cortot 1951   68  0.1565  0.0073  0.0468  0.0475  0.0379  0.03
Csalog 1996   40  0.2461  0.0051  0.0472  0.0470  0.0556  0.04
Czerny 1949   88  -0.0288  0.0091  0.0191  0.0191  0.0190  0.01
Czerny 1990   67  0.1530  0.0064  0.0560  0.0578  0.0360  0.04
Duchoud 2007   76  0.1089  0.0069  0.0467  0.0484  0.0277  0.03
Ezaki 2006   73  0.1152  0.0078  0.0380  0.0384  0.0281  0.02
Falvay 1989   81  0.0846  0.0083  0.0383  0.0390  0.0282  0.02
Farrell 1958   87  0.0574  0.0079  0.0381  0.0386  0.0285  0.02
Ferenczy 1958   77  0.0938  0.0074  0.0466  0.0445  0.1545  0.08
Fliere 1977   16  0.3354  0.0032  0.0930  0.3463  0.0533  0.13
Fou 1978   61  0.1739  0.0052  0.0465  0.0485  0.0370  0.03
Francois 1956   60  0.1851  0.0071  0.0477  0.0476  0.0380  0.03
Friedman 1923   14  0.3732  0.0013  0.1817  0.4837  0.3712  0.42
Friedman 1923b   11  0.3910  0.026  0.1515  0.5038  0.428  0.46
Friedman 1930   7  0.422  0.182  0.207  0.6332  0.495  0.56
Garcia 2007   58  0.1825  0.0041  0.0742  0.1761  0.0542  0.09
Garcia 2007b   27  0.2934  0.0031  0.1031  0.3046  0.0928  0.16
Gierzod 1998   63  0.1762  0.0050  0.0648  0.0657  0.0647  0.06
Gornostaeva 1994   78  0.0985  0.0087  0.0285  0.0289  0.0289  0.02
Groot 1988   51  0.2078  0.0066  0.0649  0.0679  0.0362  0.04
Harasiewicz 1955   5  0.4212  0.0216  0.1313  0.5376  0.0429  0.15
Hatto 1993   49  0.2140  0.0055  0.0551  0.0572  0.0464  0.04
Hatto 1997   57  0.1928  0.0056  0.0647  0.0686  0.0358  0.04
Horowitz 1949   10  0.395  0.055  0.195  0.6527  0.484  0.56
Indjic 1988   47  0.2355  0.0043  0.0741  0.1765  0.0640  0.10
Kapell 1951   26  0.2968  0.0025  0.0725  0.4254  0.0624  0.16
Kissin 1993   53  0.2056  0.0054  0.0563  0.0570  0.0549  0.05
Kushner 1989   39  0.2544  0.0044  0.0644  0.1470  0.0446  0.07
Luisada 1991   24  0.3049  0.0035  0.0934  0.2865  0.0536  0.12
Lushtak 2004   17  0.3371  0.0019  0.0816  0.4817  0.4210  0.45
Malcuzynski 1961   23  0.3029  0.0022  0.0721  0.4454  0.0625  0.16
Magaloff 1978   33  0.2750  0.0040  0.0839  0.2364  0.0538  0.11
Magin 1975   54  0.2057  0.0061  0.0562  0.0574  0.0454  0.04
Michalowski 1933   12  0.3811  0.0212  0.158  0.6236  0.339  0.45
Milkina 1970   75  0.1022  0.0076  0.0470  0.0480  0.0371  0.03
Mohovich 1999   48  0.2243  0.0018  0.0843  0.1564  0.0543  0.09
Moravec 1969   66  0.1542  0.0060  0.0553  0.0588  0.0267  0.03
Morozova 2008   41  0.2479  0.0063  0.0464  0.0484  0.0374  0.03
Neighaus 1950   44  0.2353  0.0047  0.0746  0.0789  0.0263  0.04
Niedzielski 1931   43  0.249  0.0236  0.0633  0.2981  0.0341  0.09
Ohlsson 1999   13  0.377  0.037  0.1212  0.5433  0.2214  0.34
Osinska 1989   46  0.2333  0.0057  0.0559  0.0570  0.0450  0.04
Pachmann 1927   20  0.3386  0.0021  0.0822  0.4437  0.3113  0.37
Paderewski 1930   37  0.2631  0.0045  0.0645  0.1255  0.0644  0.08
Perlemuter 1992   19  0.3372  0.0024  0.0629  0.3562  0.0437  0.12
Pierdomenico 2008   71  0.1380  0.0065  0.0650  0.0680  0.0353  0.04
Poblocka 1999   22  0.3117  0.0120  0.0720  0.4548  0.0623  0.16
Rabcewiczowa 1932   80  0.0963  0.0085  0.0286  0.0285  0.0284  0.02
Rachmaninoff 1923   55  0.2075  0.0048  0.0557  0.0581  0.0352  0.04
Rangell 2001   70  0.1458  0.0067  0.0554  0.0582  0.0361  0.04
Richter 1976   35  0.2635  0.0034  0.0932  0.3054  0.0635  0.13
Rosen 1989   42  0.2459  0.0037  0.0736  0.2854  0.0439  0.11
Rosenthal 1930   83  0.0773  0.0084  0.0287  0.0287  0.0287  0.02
Rosenthal 1931   85  0.0690  0.0080  0.0469  0.0485  0.0273  0.03
Rosenthal 1931b   82  0.0891  0.0072  0.0475  0.0470  0.0465  0.04
Rosenthal 1931c   86  0.0669  0.0086  0.0284  0.0290  0.0191  0.01
Rosenthal 1931d   74  0.1064  0.0049  0.0555  0.0546  0.0748  0.06
Rossi 2007   79  0.0970  0.0081  0.0382  0.0346  0.0651  0.04
Rubinstein 1939   72  0.1218  0.0175  0.0378  0.0385  0.0283  0.02
Rubinstein 1952   64  0.1645  0.0059  0.0556  0.0579  0.0366  0.04
Rubinstein 1966   59  0.1876  0.0058  0.0552  0.0582  0.0357  0.04
Schilhawsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   25  0.2915  0.0115  0.1519  0.4650  0.0921  0.20
Smith 1975   62  0.1747  0.0077  0.0476  0.0479  0.0369  0.03
Sokolov 2002   56  0.1927  0.0046  0.0561  0.0583  0.0268  0.03
Sztompka 1959   65  0.1687  0.0062  0.0474  0.0481  0.0372  0.03
Tomsic 1995   84  0.0681  0.0082  0.0379  0.0389  0.0286  0.02
Uninsky 1932   34  0.2766  0.0026  0.0824  0.4254  0.0626  0.16
Uninsky 1971   45  0.2341  0.0053  0.0558  0.0582  0.0355  0.04
Wasowski 1980   38  0.2677  0.0033  0.0928  0.3759  0.0530  0.14
Zak 1937   8  0.4013  0.013  0.212  0.7110  0.672  0.69
Zak 1951   3  0.421  0.291  0.291  0.744  0.751  0.74
Average   1  0.4419  0.0110  0.169  0.6285  0.0331  0.14
Random 1   89  -0.0467  0.0088  0.0189  0.0170  0.0388  0.02
Random 2   91  -0.0523  0.0089  0.0288  0.0264  0.0475  0.03
Random 3   90  -0.0582  0.0090  0.0190  0.0134  0.1659  0.04

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).