Mohovich 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.6516  0.0113  0.1311  0.543  0.569  0.55
Anderszewski 2003   54  0.4833  0.0022  0.0727  0.2719  0.3528  0.31
Ashkenazy 1981   53  0.4961  0.0056  0.0463  0.0469  0.0478  0.04
Bacha 2000   47  0.5270  0.0052  0.0471  0.0421  0.4346  0.13
Badura 1965   73  0.3949  0.0072  0.0551  0.0556  0.0477  0.04
Barbosa 1983   38  0.558  0.048  0.1317  0.449  0.5215  0.48
Biret 1990   60  0.4588  0.0075  0.0379  0.0365  0.0486  0.03
Blet 2003   39  0.5457  0.0045  0.0548  0.0540  0.1551  0.09
Block 1995   25  0.5924  0.0123  0.0725  0.319  0.4620  0.38
Blumental 1952   78  0.3123  0.0182  0.0378  0.0372  0.0384  0.03
Boshniakovich 1969   15  0.6312  0.0217  0.1316  0.465  0.6111  0.53
Brailowsky 1960   16  0.6313  0.0226  0.0826  0.292  0.5516  0.40
Bunin 1987   34  0.5684  0.0039  0.0639  0.1526  0.3336  0.22
Bunin 1987b   33  0.5673  0.0043  0.0741  0.1426  0.3237  0.21
Chiu 1999   59  0.4685  0.0062  0.0646  0.0669  0.0460  0.05
Cohen 1997   77  0.3247  0.0073  0.0465  0.0435  0.1755  0.08
Cortot 1951   68  0.4248  0.0078  0.0555  0.0561  0.0479  0.04
Csalog 1996   65  0.4274  0.0080  0.0287  0.0247  0.0772  0.04
Czerny 1949   43  0.5335  0.0042  0.0740  0.1424  0.3834  0.23
Czerny 1990   35  0.5662  0.0040  0.0537  0.1756  0.0552  0.09
Duchoud 2007   62  0.4575  0.0071  0.0458  0.0467  0.0476  0.04
Ezaki 2006   1  0.7020  0.016  0.154  0.637  0.566  0.59
Falvay 1989   17  0.6186  0.0027  0.0824  0.3117  0.3227  0.31
Farrell 1958   69  0.4154  0.0079  0.0286  0.0262  0.0483  0.03
Ferenczy 1958   41  0.5418  0.0159  0.0550  0.0511  0.4742  0.15
Fliere 1977   18  0.6134  0.0028  0.0823  0.3235  0.1535  0.22
Fou 1978   24  0.5956  0.0025  0.0820  0.3729  0.3523  0.36
Francois 1956   13  0.6319  0.0112  0.1313  0.4912  0.4914  0.49
Friedman 1923   87  0.1287  0.0087  0.0375  0.0376  0.0387  0.03
Friedman 1923b   86  0.1281  0.0086  0.0285  0.0264  0.0585  0.03
Friedman 1930   84  0.2376  0.0068  0.0380  0.0351  0.0574  0.04
Garcia 2007   74  0.3929  0.0048  0.0460  0.044  0.6740  0.16
Garcia 2007b   85  0.1471  0.0085  0.0473  0.0454  0.0480  0.04
Gierzod 1998   21  0.5930  0.0021  0.1019  0.4213  0.3917  0.40
Gornostaeva 1994   6  0.6710  0.0311  0.129  0.5611  0.5112  0.53
Groot 1988   2  0.704  0.133  0.153  0.653  0.604  0.62
Harasiewicz 1955   30  0.571  0.151  0.148  0.596  0.4613  0.52
Hatto 1993   79  0.3044  0.0036  0.0838  0.1550  0.0553  0.09
Hatto 1997   75  0.3614  0.0219  0.0931  0.2441  0.1041  0.15
Horowitz 1949   46  0.5351  0.0029  0.0736  0.1820  0.3333  0.24
Indjic 1988   80  0.3036  0.0035  0.0642  0.1457  0.0554  0.08
Kapell 1951   42  0.5482  0.0057  0.0464  0.0463  0.0469  0.04
Kissin 1993   29  0.5745  0.0033  0.0634  0.2238  0.1938  0.20
Kushner 1989   36  0.5689  0.0054  0.0470  0.0454  0.0468  0.04
Luisada 1991   44  0.5390  0.0044  0.0544  0.1162  0.0556  0.07
Lushtak 2004   28  0.5815  0.0118  0.1118  0.4322  0.3818  0.40
Malcuzynski 1961   7  0.6663  0.0016  0.1215  0.4631  0.2724  0.35
Magaloff 1978   11  0.6450  0.0015  0.1114  0.4819  0.3119  0.39
Magin 1975   64  0.4468  0.0070  0.0462  0.0454  0.0567  0.04
Michalowski 1933   81  0.2764  0.0076  0.0469  0.0465  0.0471  0.04
Milkina 1970   31  0.5726  0.0041  0.0643  0.1233  0.2239  0.16
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Moravec 1969   61  0.4577  0.0077  0.0466  0.0464  0.0463  0.04
Morozova 2008   52  0.4941  0.0047  0.0745  0.0765  0.0461  0.05
Neighaus 1950   5  0.682  0.142  0.221  0.747  0.572  0.65
Niedzielski 1931   67  0.4252  0.0074  0.0467  0.0452  0.0566  0.04
Ohlsson 1999   49  0.5283  0.0058  0.0461  0.0461  0.0470  0.04
Osinska 1989   27  0.5842  0.0034  0.0828  0.2524  0.2432  0.24
Pachmann 1927   40  0.5421  0.0137  0.0635  0.2014  0.5125  0.32
Paderewski 1930   48  0.5225  0.0053  0.0474  0.0425  0.2250  0.09
Perlemuter 1992   8  0.656  0.047  0.175  0.623  0.663  0.64
Pierdomenico 2008   57  0.4759  0.0063  0.0381  0.0342  0.1357  0.06
Poblocka 1999   20  0.6022  0.0131  0.0729  0.2526  0.2631  0.25
Rabcewiczowa 1932   32  0.5631  0.0038  0.0633  0.2312  0.5722  0.36
Rachmaninoff 1923   70  0.4158  0.0046  0.0557  0.0554  0.0464  0.04
Rangell 2001   23  0.5932  0.0032  0.0832  0.2413  0.4226  0.32
Richter 1976   45  0.5340  0.0051  0.0554  0.0529  0.2548  0.11
Rosen 1989   10  0.659  0.0314  0.1310  0.557  0.598  0.57
Rosenthal 1930   63  0.4443  0.0069  0.0376  0.0331  0.3249  0.10
Rosenthal 1931   72  0.3978  0.0065  0.0382  0.0317  0.4547  0.12
Rosenthal 1931b   71  0.4069  0.0066  0.0552  0.0513  0.4643  0.15
Rosenthal 1931c   55  0.4827  0.0049  0.0459  0.0415  0.4845  0.14
Rosenthal 1931d   66  0.4279  0.0067  0.0647  0.0620  0.3444  0.14
Rossi 2007   83  0.2453  0.0083  0.0472  0.0455  0.0382  0.03
Rubinstein 1939   82  0.2580  0.0084  0.0384  0.0348  0.0565  0.04
Rubinstein 1952   19  0.6128  0.0020  0.0922  0.3319  0.4221  0.37
Rubinstein 1966   4  0.683  0.134  0.142  0.671  0.751  0.71
Schilhawsky 1960   58  0.4672  0.0064  0.0377  0.0351  0.0573  0.04
Shebanova 2002   50  0.5017  0.0161  0.0549  0.0560  0.0562  0.05
Smith 1975   22  0.5960  0.0024  0.0821  0.3534  0.2330  0.28
Sokolov 2002   37  0.5637  0.0055  0.0556  0.0548  0.0659  0.05
Sztompka 1959   51  0.5055  0.0060  0.0553  0.0546  0.0758  0.06
Tomsic 1995   3  0.7011  0.025  0.136  0.615  0.557  0.58
Uninsky 1932   56  0.4839  0.0050  0.0468  0.0465  0.0575  0.04
Uninsky 1971   26  0.5838  0.0030  0.0830  0.2530  0.3429  0.29
Wasowski 1980   76  0.3465  0.0081  0.0383  0.0366  0.0481  0.03
Zak 1937   14  0.635  0.0610  0.1412  0.527  0.5510  0.53
Zak 1951   12  0.647  0.049  0.157  0.605  0.605  0.60
Random 1   90  -0.1066  0.0090  0.0190  0.0188  0.0290  0.01
Random 2   89  -0.0746  0.0089  0.0288  0.0272  0.0388  0.02
Random 3   88  -0.0167  0.0088  0.0289  0.0269  0.0389  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).