Morozova 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.6034  0.006  0.146  0.4810  0.478  0.47
Anderszewski 2003   50  0.4751  0.0061  0.0455  0.0434  0.2267  0.09
Ashkenazy 1981   13  0.5746  0.0014  0.0914  0.3730  0.2720  0.32
Bacha 2000   79  0.3422  0.0064  0.0372  0.0338  0.2370  0.08
Badura 1965   36  0.5242  0.0034  0.0537  0.148  0.4929  0.26
Barbosa 1983   37  0.5236  0.0031  0.0826  0.2225  0.4125  0.30
Biret 1990   54  0.4684  0.0065  0.0373  0.0338  0.1875  0.07
Blet 2003   18  0.5643  0.0047  0.0550  0.0526  0.3051  0.12
Block 1995   69  0.4156  0.0056  0.0457  0.0437  0.1672  0.08
Blumental 1952   32  0.526  0.0213  0.0727  0.217  0.4919  0.32
Boshniakovich 1969   21  0.5541  0.0042  0.0736  0.1421  0.4630  0.25
Brailowsky 1960   26  0.5444  0.0051  0.0649  0.066  0.5236  0.18
Bunin 1987   24  0.5461  0.0022  0.0638  0.1429  0.3033  0.20
Bunin 1987b   23  0.5462  0.0021  0.0633  0.1529  0.3032  0.21
Chiu 1999   10  0.582  0.0510  0.117  0.467  0.654  0.55
Cohen 1997   88  0.2157  0.0088  0.0470  0.0466  0.0486  0.04
Cortot 1951   55  0.4677  0.0069  0.0468  0.0430  0.2765  0.10
Csalog 1996   87  0.2353  0.0086  0.0377  0.0345  0.1277  0.06
Czerny 1949   35  0.5245  0.0024  0.0621  0.2623  0.4018  0.32
Czerny 1990   3  0.633  0.043  0.135  0.519  0.536  0.52
Duchoud 2007   31  0.5358  0.0029  0.0723  0.2322  0.4323  0.31
Ezaki 2006   2  0.6433  0.002  0.138  0.4415  0.449  0.44
Falvay 1989   15  0.5627  0.0017  0.0815  0.3713  0.4013  0.38
Farrell 1958   53  0.4652  0.0073  0.0552  0.0516  0.3744  0.14
Ferenczy 1958   73  0.3880  0.0083  0.0286  0.0245  0.0885  0.04
Fliere 1977   6  0.6237  0.008  0.133  0.5516  0.525  0.53
Fou 1978   9  0.588  0.0212  0.089  0.4323  0.4111  0.42
Francois 1956   60  0.4514  0.0130  0.0529  0.1936  0.1640  0.17
Friedman 1923   84  0.2973  0.0081  0.0374  0.0318  0.3759  0.11
Friedman 1923b   85  0.2968  0.0080  0.0288  0.0218  0.3868  0.09
Friedman 1930   72  0.3938  0.0066  0.0460  0.0428  0.3257  0.11
Garcia 2007   86  0.2865  0.0082  0.0378  0.0324  0.3364  0.10
Garcia 2007b   81  0.3374  0.0077  0.0381  0.0310  0.4654  0.12
Gierzod 1998   58  0.4531  0.0033  0.0542  0.1138  0.1453  0.12
Gornostaeva 1994   22  0.5417  0.0125  0.0818  0.3223  0.3321  0.32
Groot 1988   25  0.5430  0.007  0.1310  0.4214  0.4410  0.43
Harasiewicz 1955   29  0.5367  0.0046  0.0551  0.0541  0.1473  0.08
Hatto 1993   63  0.4412  0.0143  0.0635  0.1416  0.3631  0.22
Hatto 1997   57  0.4675  0.0048  0.0647  0.0623  0.3446  0.14
Horowitz 1949   47  0.4929  0.0039  0.0543  0.1018  0.3634  0.19
Indjic 1988   66  0.4447  0.0044  0.0640  0.1223  0.3035  0.19
Kapell 1951   65  0.4425  0.0068  0.0467  0.0450  0.0582  0.04
Kissin 1993   27  0.5335  0.0050  0.0648  0.0638  0.2156  0.11
Kushner 1989   4  0.6313  0.014  0.114  0.517  0.633  0.57
Luisada 1991   5  0.6272  0.009  0.1113  0.3915  0.4412  0.41
Lushtak 2004   19  0.5520  0.0141  0.0534  0.1433  0.2339  0.18
Malcuzynski 1961   16  0.5628  0.0020  0.0617  0.3631  0.2722  0.31
Magaloff 1978   39  0.5110  0.0119  0.0728  0.2044  0.0948  0.13
Magin 1975   28  0.5379  0.0045  0.0445  0.0820  0.2742  0.15
Michalowski 1933   71  0.3949  0.0055  0.0462  0.0437  0.2463  0.10
Milkina 1970   49  0.4726  0.0028  0.0624  0.2329  0.3127  0.27
Mohovich 1999   45  0.4969  0.0059  0.0466  0.0446  0.0780  0.05
Moravec 1969   62  0.449  0.0211  0.0919  0.3126  0.2924  0.30
Morozova 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Neighaus 1950   20  0.5524  0.0015  0.0812  0.4025  0.3714  0.38
Niedzielski 1931   83  0.3032  0.0079  0.0287  0.0240  0.1278  0.05
Ohlsson 1999   33  0.5221  0.0149  0.0746  0.0750  0.0576  0.06
Osinska 1989   46  0.4990  0.0035  0.0544  0.0833  0.1750  0.12
Pachmann 1927   82  0.3063  0.0084  0.0382  0.0350  0.0583  0.04
Paderewski 1930   77  0.3576  0.0087  0.0375  0.0367  0.0387  0.03
Perlemuter 1992   14  0.575  0.0316  0.1111  0.408  0.567  0.47
Pierdomenico 2008   67  0.4378  0.0062  0.0465  0.0429  0.2361  0.10
Poblocka 1999   44  0.4918  0.0153  0.0454  0.0443  0.1374  0.07
Rabcewiczowa 1932   59  0.4587  0.0067  0.0458  0.0432  0.2362  0.10
Rachmaninoff 1923   7  0.604  0.035  0.122  0.574  0.632  0.60
Rangell 2001   78  0.3564  0.0076  0.0383  0.0359  0.0488  0.03
Richter 1976   43  0.4954  0.0058  0.0464  0.0432  0.2066  0.09
Rosen 1989   42  0.5016  0.0123  0.0525  0.2327  0.3228  0.27
Rosenthal 1930   48  0.4859  0.0032  0.0530  0.1714  0.5426  0.30
Rosenthal 1931   68  0.4248  0.0070  0.0463  0.0411  0.5343  0.15
Rosenthal 1931b   74  0.3860  0.0071  0.0459  0.0411  0.5047  0.14
Rosenthal 1931c   61  0.4423  0.0060  0.0469  0.0418  0.4349  0.13
Rosenthal 1931d   80  0.3340  0.0074  0.0379  0.0327  0.2669  0.09
Rossi 2007   76  0.3691  0.0078  0.0284  0.0217  0.3471  0.08
Rubinstein 1939   70  0.4019  0.0175  0.0380  0.0318  0.4155  0.11
Rubinstein 1952   75  0.3639  0.0085  0.0285  0.0260  0.0589  0.03
Rubinstein 1966   40  0.5086  0.0054  0.0461  0.0425  0.3452  0.12
Schilhawsky 1960   64  0.4470  0.0072  0.0456  0.0451  0.0584  0.04
Shebanova 2002   30  0.5311  0.0126  0.0720  0.3024  0.3916  0.34
Smith 1975   12  0.5781  0.0040  0.0431  0.1640  0.1641  0.16
Sokolov 2002   11  0.5855  0.0018  0.0716  0.3618  0.3915  0.37
Sztompka 1959   17  0.5615  0.0127  0.0922  0.2618  0.4317  0.33
Tomsic 1995   38  0.517  0.0238  0.0441  0.1239  0.1745  0.14
Uninsky 1932   34  0.5250  0.0052  0.0553  0.0528  0.2358  0.11
Uninsky 1971   51  0.4771  0.0063  0.0376  0.0346  0.0879  0.05
Wasowski 1980   41  0.5085  0.0057  0.0371  0.0317  0.3560  0.10
Zak 1937   56  0.4666  0.0037  0.0539  0.1434  0.2337  0.18
Zak 1951   52  0.4789  0.0036  0.0432  0.1536  0.2238  0.18
Average   1  0.721  0.591  0.591  0.818  0.531  0.66
Random 1   91  -0.0282  0.0091  0.0191  0.0163  0.0391  0.02
Random 2   90  -0.0288  0.0089  0.0190  0.0148  0.0590  0.02
Random 3   89  0.0083  0.0090  0.0289  0.0239  0.1581  0.05

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).