Poblocka 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.366  0.0331  0.0728  0.3531  0.3428  0.34
Anderszewski 2003   71  0.2268  0.0064  0.0568  0.0539  0.1457  0.08
Ashkenazy 1981   29  0.3586  0.0040  0.0840  0.2150  0.0846  0.13
Bacha 2000   82  0.0872  0.0083  0.0384  0.0381  0.0287  0.02
Badura 1965   56  0.2839  0.0052  0.0475  0.0431  0.3747  0.12
Barbosa 1983   33  0.3436  0.0026  0.0720  0.4222  0.4317  0.42
Biret 1990   59  0.2865  0.0069  0.0557  0.0541  0.1951  0.10
Blet 2003   22  0.3818  0.0023  0.0618  0.4328  0.4514  0.44
Block 1995   24  0.3745  0.0021  0.1116  0.4333  0.3619  0.39
Blumental 1952   68  0.2473  0.0074  0.0551  0.0569  0.0479  0.04
Boshniakovich 1969   5  0.4520  0.0010  0.207  0.5922  0.5010  0.54
Brailowsky 1960   35  0.3426  0.0033  0.0737  0.2521  0.5123  0.36
Bunin 1987   30  0.3515  0.0116  0.1019  0.4324  0.4316  0.43
Bunin 1987b   32  0.3469  0.0018  0.0921  0.4227  0.4018  0.41
Chiu 1999   26  0.3637  0.0037  0.0939  0.2340  0.2138  0.22
Cohen 1997   63  0.2531  0.0073  0.0559  0.0549  0.0761  0.06
Cortot 1951   78  0.1349  0.0080  0.0476  0.0473  0.0384  0.03
Csalog 1996   17  0.3813  0.0114  0.0823  0.3918  0.4715  0.43
Czerny 1949   83  0.0666  0.0087  0.0382  0.0376  0.0482  0.03
Czerny 1990   7  0.455  0.034  0.136  0.6318  0.703  0.66
Duchoud 2007   8  0.447  0.038  0.1610  0.566  0.636  0.59
Ezaki 2006   55  0.2961  0.0044  0.0644  0.1140  0.2141  0.15
Falvay 1989   49  0.3027  0.0042  0.0643  0.1350  0.0652  0.09
Farrell 1958   53  0.2928  0.0049  0.0555  0.0530  0.3243  0.13
Ferenczy 1958   87  0.0170  0.0084  0.0288  0.0246  0.0878  0.04
Fliere 1977   1  0.561  0.571  0.561  0.8017  0.691  0.74
Fou 1978   21  0.3810  0.019  0.1713  0.4615  0.4611  0.46
Francois 1956   67  0.2414  0.0157  0.0648  0.0631  0.4042  0.15
Friedman 1923   16  0.3971  0.0022  0.0722  0.3935  0.3920  0.39
Friedman 1923b   14  0.4038  0.0017  0.0915  0.4535  0.4513  0.45
Friedman 1930   20  0.3854  0.0024  0.0624  0.3837  0.3921  0.38
Garcia 2007   31  0.3524  0.0020  0.0827  0.3527  0.4022  0.37
Garcia 2007b   45  0.3140  0.0059  0.0565  0.0542  0.1653  0.09
Gierzod 1998   76  0.1774  0.0070  0.0472  0.0441  0.1758  0.08
Gornostaeva 1994   60  0.2846  0.0055  0.0558  0.0545  0.0862  0.06
Groot 1988   6  0.4511  0.0113  0.1311  0.5236  0.2326  0.35
Harasiewicz 1955   36  0.3443  0.0035  0.0732  0.3036  0.2037  0.24
Hatto 1993   64  0.2582  0.0066  0.0553  0.0563  0.0670  0.05
Hatto 1997   72  0.2177  0.0067  0.0569  0.0558  0.0569  0.05
Horowitz 1949   23  0.3822  0.0025  0.0726  0.3734  0.3624  0.36
Indjic 1988   73  0.2187  0.0071  0.0471  0.0453  0.0860  0.06
Kapell 1951   40  0.3232  0.0029  0.0629  0.3268  0.0544  0.13
Kissin 1993   48  0.3078  0.0041  0.0741  0.1737  0.3535  0.24
Kushner 1989   18  0.3834  0.0030  0.0733  0.3034  0.2632  0.28
Luisada 1991   3  0.479  0.0111  0.168  0.5820  0.559  0.56
Lushtak 2004   58  0.2833  0.0048  0.0561  0.0521  0.3245  0.13
Malcuzynski 1961   52  0.3050  0.0046  0.0554  0.0543  0.1355  0.08
Magaloff 1978   25  0.3630  0.0036  0.0738  0.2435  0.3331  0.28
Magin 1975   74  0.2167  0.0077  0.0567  0.0572  0.0475  0.04
Michalowski 1933   19  0.3855  0.0034  0.0731  0.3030  0.3827  0.34
Milkina 1970   80  0.1183  0.0079  0.0474  0.0463  0.0476  0.04
Mohovich 1999   42  0.3212  0.0139  0.0836  0.2634  0.2336  0.24
Moravec 1969   57  0.2847  0.0062  0.0646  0.0661  0.0463  0.05
Morozova 2008   10  0.422  0.063  0.154  0.6313  0.528  0.57
Neighaus 1950   41  0.3219  0.0032  0.0635  0.2660  0.0550  0.11
Niedzielski 1931   61  0.2723  0.0060  0.0564  0.0571  0.0474  0.04
Ohlsson 1999   38  0.3348  0.0051  0.0473  0.0446  0.0667  0.05
Osinska 1989   47  0.3125  0.0056  0.0745  0.0739  0.1648  0.11
Pachmann 1927   43  0.3175  0.0061  0.0563  0.0544  0.1256  0.08
Paderewski 1930   69  0.2341  0.0065  0.0552  0.0557  0.0666  0.05
Perlemuter 1992   2  0.494  0.042  0.192  0.706  0.732  0.71
Pierdomenico 2008   65  0.2464  0.0063  0.0470  0.0438  0.1854  0.08
Poblocka 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rabcewiczowa 1932   70  0.2376  0.0072  0.0562  0.0552  0.0759  0.06
Rachmaninoff 1923   11  0.423  0.065  0.149  0.5812  0.684  0.63
Rangell 2001   34  0.3451  0.0038  0.0830  0.3123  0.3430  0.32
Richter 1976   15  0.4063  0.0019  0.1014  0.4536  0.4812  0.46
Rosen 1989   9  0.4421  0.006  0.135  0.6319  0.537  0.58
Rosenthal 1930   46  0.3142  0.0043  0.0742  0.1423  0.4334  0.25
Rosenthal 1931   85  0.0362  0.0086  0.0383  0.0370  0.0381  0.03
Rosenthal 1931b   84  0.0588  0.0082  0.0385  0.0366  0.0485  0.03
Rosenthal 1931c   81  0.0889  0.0076  0.0478  0.0480  0.0286  0.03
Rosenthal 1931d   86  0.0390  0.0085  0.0386  0.0383  0.0383  0.03
Rossi 2007   79  0.1256  0.0081  0.0381  0.0357  0.0572  0.04
Rubinstein 1939   75  0.2052  0.0068  0.0479  0.0461  0.0473  0.04
Rubinstein 1952   50  0.3029  0.0054  0.0556  0.0545  0.0671  0.05
Rubinstein 1966   39  0.3257  0.0028  0.0634  0.2738  0.1439  0.19
Schilhawsky 1960   44  0.318  0.0247  0.0647  0.0619  0.4540  0.16
Shebanova 2002   13  0.4017  0.0112  0.1117  0.4342  0.2429  0.32
Smith 1975   66  0.2435  0.0075  0.0480  0.0450  0.0664  0.05
Sokolov 2002   77  0.1684  0.0078  0.0477  0.0473  0.0380  0.03
Sztompka 1959   4  0.4616  0.017  0.193  0.6414  0.575  0.60
Tomsic 1995   54  0.2985  0.0053  0.0566  0.0571  0.0477  0.04
Uninsky 1932   12  0.4159  0.0015  0.0912  0.4737  0.2625  0.35
Uninsky 1971   37  0.3360  0.0045  0.0649  0.0658  0.0568  0.05
Wasowski 1980   27  0.3658  0.0027  0.0625  0.3843  0.1933  0.27
Zak 1937   51  0.3044  0.0050  0.0650  0.0637  0.1949  0.11
Zak 1951   62  0.2753  0.0058  0.0560  0.0555  0.0565  0.05
Random 1   90  -0.0979  0.0090  0.0190  0.0185  0.0289  0.01
Random 2   88  -0.0780  0.0088  0.0287  0.0270  0.0388  0.02
Random 3   89  -0.0881  0.0089  0.0189  0.0180  0.0290  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).